lead scientist

Entegris

<div>
 
 Job Title:
 
 
 
 Lead Scientist, Analytics &amp; Metrology
 
 
 
 Job Description:
 
 
 
 
 THE ROLE
 
 
 
 Entegris is currently seeking a talented and innovative Scientist to join its Analytical &amp; Metrology team as the Particle Retention Team Lead in Billerica, MA.
 
 
 
 
 This role will focus on leading the retention team on development and deployment of testing methods to evaluate the performance of liquid filtration and purification products, and to study the membrane-particle and membrane-molecule interaction mechanism. The Scientist serves as a subject matter expert related to evaluation of liquid filtration and purification products for semiconductor applications.  In line with our values, which is fostering an environment of teamwork you will have an opportunity to collaborate with technicians, scientists, applications engineers, as well as global technical team members.
 
 
 
 
 The ideal candidate possesses great interest in analytical discovery and will be results oriented and an excellent team player, with solid knowledge of nanoparticles, polymer, and surface chemistry, and familiarity with semiconductor device materials, structures, and metrology.
 
 
 
 What You&rsquo;ll Do
 
 
 
 
 <ul>
 <li>
 Develop leading edge particles/molecules retention methods for liquid filtration and purification products performance evaluation in different liquids;
 </li>
 <li>
 Perform DOE test to understand the membrane-particle and membrane-molecule interaction mechanism with variety filtration and purification membranes;
 </li>
 <li>
 Use product and testing expertise to collaborate with internal and external customers to determine root causes in product development and quality problems.
 </li>
 <li>
 Document work in technical reports, presentations, and external publications.
 </li>
 <li>
 Contribute to metrology roadmap of retention test.
 </li>
 <li>
 Promote Entegris&rsquo; image by participating in industrial conferences and seminars.
 </li>
 <li>
 Directly manage the retention team responsible for the following
 </li>
 <li>
 Perform retention test to support test requests in timely manner
 </li>
 <li>
 Develop and maintain SOPs for retention test
 </li>
 <li>
 Identify opportunities for improvement in existing test methods and control systems.
 </li>
 <li>
 Work closely with Scientists, Chemists, and Technicians to ensure accurate and precise testing.
 </li>
 <li>
 Utilize analytical equipment to the best of its ability
 </li>
 <li>
 Maintain retention lab, safe lab habits and work environment
 </li>
 <li>
 Lab equipment installation, service, repair, and maintenance
 </li>
 <li>
 Manage time of staffs in retention lab
 </li>
 <li>
 Improve lab test efficiency
 </li>
 <li>
 Teaching and mentoring junior scientists, chemists, and technicians.
 
 
 
 </li>
 </ul>
 
 What We Seek
 
 
 
 
 <ul>
 <li>
 Ph.D. in chemistry and materials science or Master degree with 2+ years of experience working in the chemical, semiconductor or related industry;
 </li>
 <li>
 Practical knowledge in nanoparticles, polymer, surface chemistry;
 </li>
 <li>
 Experience in general lab instruments (ICP-MS, GC, LC, GPC, etc.);
 </li>
 <li>
 Experience in liquid filtration products evaluation and development is preferred.
 </li>
 <li>
 Experience in supervising junior scientists, chemists, and technicians is preferred.
 </li>
 <li>
 Strong observation capability and pay attention to details in each experiment step.
 </li>
 <li>
 Strong communication skills demonstrated by both oral presentations and written technical publications;
 </li>
 <li>
 Demonstrated problem solving skills with a passion for learning and teaching;
 </li>
 <li>
 Ability to operate in a fast-paced dynamic and collaborative working environment;
 </li>
 <li>
 A role model to maintaining a safe work environment and championing safe work practices;
 
 
 
 </li>
 </ul>
 
 Your success will be measured by:
 
 
 
 
 <ul>
 <li>
 Leading the retention team to test and analyze R&amp;D samples, new products, and in-process samples when needed and in timely manner;
 </li>
 <li>
 Willingness to take new challenges in order to support the overall organization.
 </li>
 <li>
 Confers with process engineers, development scientists, and manufacturing personnel regarding results and research, prepares technical reports and presentations to promote learning;
 </li>
 <li>
 Good communication and coordination abilities and presentation skills;
 </li>
 <li>
 Teaching and mentoring junior scientists and technicians;
 </li>
 <li>
 Ability to conduct project independently and navigate ambiguity;
 </li>
 <li>
 Demonstrated ability to work on multiple projects in parallel;
 </li>
 <li>
 Strong independent operation skills and ability to complete lab work safely;
 </li>
 <li>
 Ability to learn and become proficient at several analytical techniques.
 
 
 
 </li>
 </ul>
 
 WHY WORK AT ENTEGRIS?
 
 
 
 Lead. Inspire. Innovate. Define Your Future.
 
 
 Not everyone who works for a global company shares the same background, experiences and perspectives. We leverage the differences of our employees to bring new ideas to the table. Every employee throughout the company is encouraged to share input on projects and initiatives. Our decision-making process is truly a collaborative effort as we realize there are leaders at every level of the organization. We put our values at the core of how we operate as an organization &mdash; not just when it&rsquo;s convenient, but in a lasting and meaningful way. We want the time and energy you spend here to have a positive impact on your life inside and outside of the office.
 
 
 
 What We Offer
 
 
 
 Our total rewards package goes above and beyond just a paycheck. Whether you&rsquo;re looking to build your career, improve your health, or protect your wealth, we offer generous benefits to help you achieve your goals.
 
 
 
 <ul>
 <li>
 Compensation: $120,000 - $135,000 per year range with actual pay dependent on candidate overall skills for the role
 </li>
 <li>
 Annual bonus eligibility
 </li>
 <li>
 Progressive paid time off policy that empowers you to take the time you need to recharge
 </li>
 <li>
 Generous 401(K) plan with an impressive employer match with no delayed vesting
 </li>
 <li>
 Excellent health, dental and vision insurance packages to fit your needs
 </li>
 <li>
 Education assistance to support your learning journey
 </li>
 <li>
 A values-driven culture with colleagues that rally around People, Accountability, Creativity and Excellence
 
 
 
 </li>
 </ul>
 Entegris does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need Entegris immigration sponsorship (e.g., H1B, TN, STEM OPT, etc.) now or in the future.
 
 
 At Entegris we are committed to providing equal opportunity to all employees and applicants. Our policy is to recruit, hire, train, and reward employees for their individual abilities, achievements, and experience without regard to race, color, religion, sexual orientation, age, national origin, disability, marital or military status.
 
 
</div>

Lead Scientist, Analytics & Metrology

Smurfit Westrock

<div><div>The Lead Innovation Research Scientist will play a critical role in advancing new product development and application development initiatives within Smurfit WestRock&rsquo;s Corrugated Packaging innovation team. This role is focused on solving technical challenges through hands-on experimentation, material development, and performance validation. The ideal candidate will bring a strong engineering background, with specific experience in coatings, substrates, and corrugated packaging performance. They will focus on transitioning ideas into feasible and viable packaging solutions, balancing customer needs, performance, cost, and sustainability. 
</div><div></div><div>How you will impact Smurfit Westrock:</div><div></div><div> 
<ul><li>
Drive the development and optimization of new corrugated packaging solutions, from concept through validation</li><li>
Conduct lab-scale and pilot testing of coatings, substrates, and packaging structures to meet customer requirements</li><li>
Lead the evaluation of performance characteristics (moisture resistance, strength, printability, etc.) under varied environmental and manufacturing conditions</li><li>
Collaborate cross-functionally with design, operations, and commercialization teams to ensure product scalability and manufacturability</li><li>
Contribute to the creation of technical documentation, specifications, and design of experiments (DoE)</li><li>
Analyze test results, identify trends, and make technical recommendations to guide development decisions</li><li>
Monitor emerging technologies, materials, and suppliers to inform R&amp;D pipeline and coatings strategies</li><li>
Facilitate customer trials, technical troubleshooting, and plant engagement during product scale-up and implementation</li></ul></div><div></div> 
What you need to succeed:<div><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Engineering, Materials Science, Packaging Science, or a related engineering discipline</li><li>
7+ years of experience in packaging R&amp;D, preferably with a focus on coatings and corrugated material</li><li>
Hands-on experience with lab testing protocols and physical property evaluation of paper and board</li><li>
Knowledge of paper chemistry, barrier technologies, surface treatments, and packaging converting processes</li><li>
Strong analytical and problem-solving skills with a passion for hands-on experimentation</li><li>
Effective communication and collaboration skills across technical and commercial functions</li><li>
Detail-oriented with the ability to manage multiple projects and timelines in a fast-paced environment</li><li>
Travel percentage: approximately 50%</li></ul></div><div></div> 
What We Offer<ul><li>
A corporate culture built on integrity, respect, accountability, and excellence</li><li>
A competitive salary and bonus structure that reflects skills, competencies and potential</li><li>
Comprehensive training and development opportunities</li><li>
Career growth within a global packaging leader where safety, quality, sustainability and people are fundamental to daily operations</li></ul></div>

Lead Scientist, R&D

Straive

<div>
 
 
 About the Lead Data Scientist Job Role :
 
 
 
 You will help our clients solve real-world problems by tracing the data-to-insights lifecycle:
 
 <ul>
 <li>
 Understand business problems, making sense of the data landscape &amp; footprint, performing a combination of exploratory, Machine Learning &amp; Advanced Analytics
 </li>
 <li>
 Create, experiment with, and deliver innovative solutions in a consultative mindset to client
 </li>
 </ul>
 
 stakeholders using textual data
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Background in Computer Science/Computer Applications or any quantitative discipline (Statistics, Mathematics, Economics/Operations Research, etc.) from a reputed institute.
 </li>
 <li>
 Total 7+ years of experience using analytical tools/languages like Python on large-scale data.
 </li>
 <li>
 Must have Semantic model &amp; NER experience.
 </li>
 <li>
 Experience working with pre-trained models, awareness of state-of-the-art in embeddings, and applicability for use cases.
 </li>
 <li>
 Must have strong experience in NLP/NLG/NLU applications using popular Deep learning frameworks like PyTorch, Tensor Flow, BERT, Langchain, GPT (or similar models), and OpenCV.
 </li>
 <li>
 Must have exposure to Gen AI models (LLMs) like Mistral, Falcon, Llama 2, GPT 3.5 &amp; 4, Prompt Engineering.
 </li>
 <li>
 Experience using Azure services for ML &amp; GenAI projects is a plus.
 </li>
 <li>
 Demonstrated ability to engage with client stakeholders.
 </li>
 <li>
 Deep knowledge of techniques such as Linear Regression, gradient descent, Logistic Regression, Forecasting, Cluster analysis, Decision trees, Linear Optimization, and Text Mining.
 </li>
 <li>
 Strong understanding of integrating NLP models into business workflows. Prospects should be exposed to project initiation and business impact creation in at least one project.
 </li>
 <li>
 Broad knowledge of fundamentals and state-of-the-art in NLP and machine learning.
 </li>
 <li>
 Coding skills in one or more programming languages, such as Python and SQL.
 </li>
 <li>
 Hands-on experience with popular ML frameworks such as TensorFlow.
 </li>
 <li>
 Expert / high level of understanding of language semantic concepts &amp; data standardization.
 </li>
 </ul>
 
 
</div>

Lead Data Scientist

AlfaLabs Technologies

Role &ndash; Python+AIML Developer ( Data Scientist )Experience : 5+ YearsNotice Period : Immediate to 15 DaysLocation : Hyderabad ( On Site )Key Responsibilities:&middot;<ul><li>Develop and implement innovative AI and ML models to solve complex business problems.</li><li>Design and build scalable AI solutions using Python and relevant frameworks/libraries (Flask API, Fast API, Pandas, Scikit Learn, PyTorch, Transformer, OpenAI, Hugging face).</li><li>Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.</li><li>Conduct research and development to stay updated with the latest advancements in AI and ML.</li><li>Engage with clients to understand their needs and provide tailored AI solutions.</li><li>Lead and mentor junior team members, fostering a collaborative and innovative work environment.</li><li>Ensure continuous learning and development to keep up with the fast-paced AI industry.</li><li>Rapidly prototype and iterate on AI models and solutions to meet business needs.</li></ul>Key Skills and Qualifications:<ul><li>Proficiency in Python (8 out of 10)&middot;</li><li>Experience with cloud platforms such as AWS, Azure, or GCP for AI/ML/DS project development.</li><li>Strong understanding of ML models, Deep Learning, NLP/CV, and Generative AI concepts, Agentic AI.</li><li>Comfortable working in a fast-paced environment with rapid prototyping.</li><li>Experience with client engagement and leading teams is a plus.</li><li>Proven track record in building products/solutions using cutting-edge AI models and tools.</li><li>Ability to conduct quick R&amp;D and continuously upscale and upskill</li></ul>Job Type: Full-timePay: ₹1,500,000.00 - ₹4,000,000.00 per yearBenefits:<ul><li>Flexible schedule</li><li>Health insurance</li><li>Paid time off</li><li>Provident Fund</li></ul>Ability to commute/relocate:<ul><li>Kondapur, Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Required)</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>Coding: 5 years (Preferred)</li><li>Flask Api: 7 years (Preferred)</li><li>Python developer: 7 years (Preferred)</li><li>AIML: 5 years (Preferred)</li><li>Machine learning: 5 years (Preferred)</li><li>Fast API: 5 years (Preferred)</li><li>Generative AI: 5 years (Preferred)</li><li>NLP: 5 years (Preferred)</li><li>LLM: 5 years (Preferred)</li></ul>Work Location: In person

freshworks

<div>Company Description 
Organizations everywhere struggle under the crushing costs and complexities of &ldquo;solutions&rdquo; that promise to simplify their lives. To create a better experience for their customers and employees. To help them grow. Software is a choice that can make or break a business. Create better or worse experiences. Propel or throttle growth. Business software has become a blocker instead of ways to get work done.
There&rsquo;s another option. Freshworks. With a fresh vision for how the world works.
At Freshworks, we build uncomplicated service software that delivers exceptional customer and employee experiences. Our enterprise-grade solutions are powerful, yet easy to use, and quick to deliver results. Our people-first approach to AI eliminates friction, making employees more effective and organizations more productive. Over 72,000 companies, including Bridgestone, New Balance, Nucor, S&amp;P Global, and Sony Music, trust Freshworks&rsquo; customer experience (CX) and employee experience (EX) software to fuel customer loyalty and service efficiency. And, over 4,500 Freshworks employees make this possible, all around the world.
Fresh vision. Real impact. Come build it with us. 
Job Description 
As a Lead Data Scientist with a focus on Generative Artificial Intelligence (GenAI), you will be at the forefront of pioneering innovative applications of data science and machine learning in employee engagement. You will lead efforts to leverage GenAI techniques to solve complex challenges, transitioning the next generation of IT services away from traditional dashboards and filters into an interactive, conversational experience backed by real-time streaming data analysis.
The Impact You Will Create
You will not just be building models; you will be reshaping how users interact with technology. Your work will directly result in:<ul><li>
Massive Scale: Building a state-of-the-art conversational servicebot designed to scale seamlessly across 1 million+ Monthly Active Users (MAU).</li><li>
Next-Gen User Experience: Serving real-time insights to customers through a cutting-edge conversational UI/UX that processes millions of streaming data points.</li><li>
Advanced Automation: Developing production-grade AI/ML solutions to solve complex Text2Action problems and analyzing time-series data to detect anomalous behavior instantly.</li></ul>
Roles &amp; Responsibilities<ul><li>
Strategic Collaboration: Partner closely with product and business teams to deeply understand challenges and opportunities within the GenAI landscape, ensuring data science initiatives align with core organizational objectives.</li><li>
Intelligent System Design: Conceptualize, experiment, and design intelligent systems powered by GenAI, applying your deep expertise in machine learning, statistics, and advanced mathematics.</li><li>
End-to-End ML Pipelines: Take full ownership of ML pipelines from start to finish, encompassing data pre-processing, model generation, cross-validation, and continuous feedback integration.</li><li>
ML/AI Architecture: Collaborate with ML Engineers to design highly scalable systems and model architectures that enable low-latency, real-time ML/AI services.</li><li>
Big Data Processing: Build and develop efficient systems capable of ingesting and processing vast volumes of streaming data.</li><li>
Metric Definition: Define and monitor key performance metrics that accurately reflect the tangible value delivered to end-users through our GenAI solutions.</li></ul> 

Qualifications 
Qualifications<ul><li>
Education: A Bachelor&rsquo;s degree or higher in Computer Science, Statistics, Mathematics, or a highly related quantitative field.</li><li>
Experience: A minimum of 7 years of relevant industry work experience.</li><li>
Production Deployment: A proven track record of successfully deploying ML projects into production systems, backed by substantial individual contributions.</li></ul>
Key Skills<ul><li>
Mathematical Foundations: Profound understanding of the math underpinning machine learning algorithms, including probability, statistics, linear algebra, calculus, and optimization.</li><li>
GenAI &amp; NLP: Hands-on experience with Natural Language Processing tasks utilizing prompt engineering, Large Language Models (LLMs), transformers, and knowledge graphs.</li><li>
Big Data &amp; Distributed Computing: Proficiency in large-scale computing and Big Data technologies, specifically distributed programming frameworks like Hadoop and Spark.</li><li>
Data Engineering: Strong proficiency with database systems and schema design, encompassing both SQL and NoSQL databases.</li><li>
Domain Expertise: A solid background in at least two of the following specialized areas:<ul><li>
Natural Language Processing (NLP)</li><li>
Statistical ML techniques</li><li>
Deep Learning</li><li>
Distributed Systems</li><li>
Graph algorithms</li><li>
Constraint optimization</li><li>
Signal processing (speech or vision)</li></ul></li><li>
Core Competencies: Exceptional problem-solving and programming skills.</li></ul>
If you are a forward-thinking data scientist with a passion for pushing the boundaries of GenAI and envision yourself driving the transformation of IT services through interactive, conversational experiences, we encourage you to apply and join our dynamic team! 
Additional Information<div></div> 
At Freshworks, we have fostered an environment that enables everyone to find their true potential, purpose, and passion, welcoming colleagues of all backgrounds, genders, sexual orientations, religions, and ethnicities. We are committed to providing equal opportunity and believe that diversity in the workplace creates a more vibrant, richer environment that boosts the goals of our employees, communities, and business. Fresh vision. Real impact. Come build it with us.</div>

Lead - Data Scientist

Envision Employment Solutions

<div>Envision Employment Solutions is currently hiring a Lead Data Scientist for one of our partners, a global leader in IT Services and IT Consulting.
Job Summary:
We are seeking a visionary AI leader to drive enterprise-scale AI strategy, architecture, and delivery. This role requires deep expertise in large language models (LLMs), AI governance, and production-grade ML platforms, combined with strong leadership and executive communication capabilities.
The ideal candidate has extensive experience building and scaling enterprise AI ecosystems and leading multidisciplinary teams across complex environments.
Responsibilities:
Strategic AI Leadership<ul><li>
Define and drive AI roadmaps aligned with corporate strategy</li><li>
Oversee the full model lifecycle from research and experimentation to production deployment</li><li>
Ensure measurable ROI and business impact from AI initiatives</li></ul>
LLM &amp; NLP Architecture (Enterprise Level)<ul><li>
Design LLM ecosystems including RAG pipelines, orchestration layers, and fine-tuning strategies</li><li>
Lead domain-specific model fine-tuning and pretraining using proprietary datasets</li><li>
Integrate platforms such as Azure OpenAI, AWS Bedrock, Anthropic Claude, and Google Vertex AI</li><li>
Define governance, compliance, and security frameworks for LLM deployments</li><li>
Establish evaluation standards for hallucination rate, factual accuracy, bias, and toxicity</li></ul>
Infrastructure &amp; Governance<ul><li>
Own data governance policies and feature store strategy</li><li>
Lead model observability, monitoring, and drift management frameworks</li><li>
Partner with DevOps and Security to ensure scalability, resilience, and compliance</li></ul>
Team &amp; Stakeholder Leadership<ul><li>
Build and lead multidisciplinary AI teams including Data Scientists, ML Engineers, and Data Engineers</li><li>
Mentor senior scientists and define research best practices</li><li>
Communicate directly with executive leadership and non-technical stakeholders</li><li>
Evaluate AI vendors and technology partnerships</li></ul> 

Requirements 
Qualifications:<ul><li>
Master&rsquo;s or PhD in AI, Machine Learning, Computer Engineering, or Applied Math or a related field</li><li>
Minimum 7 years of overall professional experience</li><li>
At least 2+ years in AI/ML leadership roles</li><li>
Proven ability to build and scale enterprise-level AI/LLM platforms.</li></ul>
Leadership Competencies<ul><li>
Visionary mindset driving innovation across business units.</li><li>
Excellent executive communication and influence skills.</li><li>
Focused on measurable ROI, scalability, and ethical AI.</li><li>
Mentors senior scientists, defining best practices and research direction.</li></ul> 

Benefits 
Benefits &amp; Work Setup<ul><li>
Basic salary</li><li>
Social insurance</li><li>
Family Medical Insurance (AXA)</li><li>
Location: New Cairo</li><li>
Work Model: Hybrid &ndash; 2 days in the office and 3 days remote. If assigned to a project, you may be required to work from the client&rsquo;s premises on a daily basis, depending on the project requirements.</li><li>
Working Hours: 9 AM to 6 PM</li><li>
Days Off: Fridays and Saturday</li></ul></div>

<div>Envision Employment Solutions is currently hiring a Lead Data Scientist for one of our partners, a global leader in IT Services and IT Consulting.
Job Summary:
We are seeking a visionary AI leader to drive enterprise-scale AI strategy, architecture, and delivery. This role requires deep expertise in large language models (LLMs), AI governance, and production-grade ML platforms, combined with strong leadership and executive communication capabilities.
The ideal candidate has extensive experience building and scaling enterprise AI ecosystems and leading multidisciplinary teams across complex environments.
Responsibilities:
Strategic AI Leadership<ul><li>
Define and drive AI roadmaps aligned with corporate strategy</li><li>
Oversee the full model lifecycle from research and experimentation to production deployment</li><li>
Ensure measurable ROI and business impact from AI initiatives</li></ul>
LLM &amp; NLP Architecture (Enterprise Level)<ul><li>
Design LLM ecosystems including RAG pipelines, orchestration layers, and fine-tuning strategies</li><li>
Lead domain-specific model fine-tuning and pretraining using proprietary datasets</li><li>
Integrate platforms such as Azure OpenAI, AWS Bedrock, Anthropic Claude, and Google Vertex AI</li><li>
Define governance, compliance, and security frameworks for LLM deployments</li><li>
Establish evaluation standards for hallucination rate, factual accuracy, bias, and toxicity</li></ul>
Infrastructure &amp; Governance<ul><li>
Own data governance policies and feature store strategy</li><li>
Lead model observability, monitoring, and drift management frameworks</li><li>
Partner with DevOps and Security to ensure scalability, resilience, and compliance</li></ul>
Team &amp; Stakeholder Leadership<ul><li>
Build and lead multidisciplinary AI teams including Data Scientists, ML Engineers, and Data Engineers</li><li>
Mentor senior scientists and define research best practices</li><li>
Communicate directly with executive leadership and non-technical stakeholders</li><li>
Evaluate AI vendors and technology partnerships</li></ul> 

Requirements 
Qualifications:<ul><li>
Master&rsquo;s or PhD in AI, Machine Learning, Computer Engineering, or Applied Math or a related field</li><li>
Minimum 7 years of overall professional experience</li><li>
At least 2+ years in AI/ML leadership roles</li><li>
Proven ability to build and scale enterprise-level AI/LLM platforms.</li></ul>
Leadership Competencies<ul><li>
Visionary mindset driving innovation across business units.</li><li>
Excellent executive communication and influence skills.</li><li>
Focused on measurable ROI, scalability, and ethical AI.</li><li>
Mentors senior scientists, defining best practices and research direction.</li></ul> 

Benefits 
Benefits &amp; Work Setup<ul><li>
Basic salary</li><li>
Family Medical Insurance</li><li>
Round-trip family flight tickets once per year</li><li>
Visa coverage</li><li>
Location: Dubai</li><li>
Work Model: Hybrid &ndash; 2 days in the office and 3 days remote. If assigned to a project, you may be required to work from the client&rsquo;s premises on a daily basis, depending on the project requirements.</li><li>
Working Hours: 9 AM to 6 PM</li><li>
Days Off: Saturdays and Sundays</li></ul></div>

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