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mathematics science teacher

SABIS Network

<div><div><div><div>Job Number</div>
SAUDIARABIA00103
<div>Job Type</div>
Teaching
<div>School / Entity Name</div>
Abdulaziz International School, Al Wadi, Riyadh
</div><div><div>Department</div>
Teaching &amp; Academics
</div></div>About SABIS&reg;
SABIS&reg; is a global education network that has an active presence in 21 countries on five continents and educates students in both the private and public sectors. SABIS&reg; schools implement the proven, proprietary SABIS&reg; Educational System, which has been developed and refined for over 135 years.
All students in the SABIS&reg; Network benefit from a long tradition of excellence in education, a reputation that is rooted in a well-developed philosophy that seeks to provide students with a top-quality education that prepares them to meet the challenges of a changing world.
For more information about the SABIS&reg; Network, visit: www.sabis.net.
Job Purpose
Ensuring students&rsquo; success and helping them reach their full potential by implementing the SABIS&reg; curriculum and philosophy and through the consistent use of the SABIS&reg; teaching methods.
Key Responsibilities:
<ul><li>Teaching a class using the provided lesson plans (may also be asked to develop such plans based on the provided pacing charts as relevant and needed) for their subject(s) in order to be able to teach using the SABIS&reg; point system.</li><li>
Marking exams related to the taught subject in accordance with the schedule and material provided by the department.</li><li>
Discussing disciplinary and student performance issues with the Academic Quality Controller (AQC) and Head of Department (HOD) as needed.</li><li>
Implementing the SABIS&reg; Point System to ensure an environment conducive to learning in the classroom.</li><li>
Proctoring exams as needed while ensuring an adequate and properly managed test environment.</li><li>
Providing support for the academically low-performing students through guidance and motivation to help them improve and reach their full potential.</li><li>
Developing and/or following up on external exams preparation by going through previous exams as planned in the structured revision schedule (when applicable to specific grade levels).</li><li>
Aiding in duties that may include testing students, substituting for absent teachers, organizing students for lunches and buses, controlling traffic (vehicles and people), and other administrative duties as assigned by the school management.</li><li>
Preparing and participating in activity plans related to student life events such as but not limited to art, open houses, and physical education, in coordination with the Student Life Coordinator (SLC).</li><li>
Attending training sessions when needed and as requested by the school management in order to enhance the understanding of the SABIS&reg; system and improve the overall performance of students.</li><li>
Performing other related tasks or projects as they arise and as delegated by the school management.</li></ul>
Ideal Requirements:
<ul><li>Bachelor&rsquo;s degree in Education or its equivalent</li><li>
English Proficient</li><li>
A minimum of 1 year of teaching experience</li><li>
Professional behavior and ethical conduct</li><li>
Delivering results</li><li>
Continuous learning and improvement</li><li>
Accountability and taking ownership</li><li>
Excellent communication skills</li></ul>
Employment Requirements:
Must meet all employment requirements including, but not limited to, country and local education and certification requirements, reference checks, and criminal background checks.
Additional details about this position will only be provided to shortlisted candidates.
SABIS&reg; is an equal opportunity employer. We are dedicated to a policy of non-discrimination in employment on any basis including age, sex, color, race, creed, national origin, religion, marital status, disability, or any other legally protected characteristics.</div>

Mathematics & Science Teacher

Science Oasis International School

<div>
 
 
 Now Hiring: Kindergarten (KG) Teacher &ndash; Girls&rsquo; Section
 
 
 
 
 Science Oasis International School
 
 
 
 📍
 
 Location:
 
 Riyadh
 
 
 
 
 
 Science Oasis International Schools is seeking a passionate and qualified
 
 Kindergarten (KG) Teacher
 
 to join our team for the Girls&rsquo; Section.
 
 
 🔹
 
 Position:
 
 Kindergarten (KG) Teacher
 
 
 
 
 
 ✅
 
 Requirements:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Early Childhood Education or a related field
 </li>
 <li>
 Minimum of 2 years experience teaching kindergarten or early childhood level
 </li>
 <li>
 English speaker
 </li>
 <li>
 Creative, patient, and enthusiastic approach to early learning
 </li>
 <li>
 Strong classroom management and communication skills
 </li>
 <li>
 Familiarity with international early years curricula is preferred
 </li>
 </ul>
 
 
 
 
 🛠️
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Plan and deliver age-appropriate and engaging lessons
 </li>
 <li>
 Create a safe, nurturing, and stimulating classroom environment
 </li>
 <li>
 Support the social, emotional, and academic development of young learners
 </li>
 <li>
 Communicate regularly with parents and guardians
 </li>
 <li>
 Participate in school events and ongoing professional development
 </li>
 </ul>
 
 
 
 
 📩
 
 Interested candidates are invited to send their CV to:
 
 
 
 📧 cv@s-oasis.edu.sa
 
 
 
 
 
 🔗 Join a school that values creativity, early development, and a collaborative spirit. We look forward to welcoming you to our team!
 
 
 
 
 
 #Hiring #KGTeacher #InternationalSchools #RiyadhJobs #ScienceOasis #GirlsSection #NowHiring #TeachingJobs #EarlyChildhoodEducation
 
</div>

Kindergarten Teacher

Prince Sultan University

<div>
 Institution: Prince Sultan University Location: Riyadh Category: Academic Posted: October 27, 2025 Application Due: January 1, 2026 Type: Full Time
 
 
 The Math And Sciences Department (MSD) At Prince Sultan University (PSU) Invites Qualified Candidates To Apply For The Following Faculty Position For The 2025&ndash;2026 Academic Year
 
 
 
 Assistant professor in mathematics (Female Campus)
 
 
 
 
 Applicants Are Expected To
 
 
 
 <ul>
 <li>
 Hold a PhD degree in the relevant field.
 </li>
 <li>
 Have earned the degree on-site and as a full-time student from an accredited university.
 </li>
 <li>
 Have teaching experience in higher education.
 </li>
 <li>
 Be proficient in English, as all teaching and academic advising are conducted in English.
 </li>
 <li>
 Demonstrate excellent interpersonal and communication skills.
 </li>
 <li>
 Use information technology effectively in teaching and research.
 </li>
 <li>
 Be actively engaged in departmental and program activities, including committees, workshops, seminars, and student/scholarly events.
 </li>
 <li>
 Preference will be given to candidates with experience teaching Actuarial and Data Science courses.
 
 
 </li>
 </ul>
 Applicants should submit a cover letter, CV, Bachelor, Master and PhD Certificates, transcripts, and names of two references. Review of applications will begin immediately and applications
 
 
 will be accepted until the positions are filled.
 
 
 
 Notes
 
 
 
 <ul>
 <li>
 The program will only contact candidates who qualify for an interview.
 </li>
 <li>
 Incomplete applications (i.e. missing documents) will not be considered.
 
 
 </li>
 </ul>
 
 About The Math And Science Department (msd)
 
 
 
 The Mathematics and Sciences Department offers service courses covering the basic concepts of mathematics and natural sciences, which are prerequisites for degree programs at Prince Sultan University. The aim of the department is to transform our students into competent and motivated professionals with theoretical and practical knowledge, creating an atmosphere that encourages research, clear thinking and determination to succeed in their chosen profession.
 
 
 
 Salary And Benefits
 
 
 
 The University is continuously expanding, and its campus is situated in well-equipped new premises in north-central Riyadh.
 
 
 <ul>
 <li>
 We offer a one-year renewable contract (renewable subject to Dean/Director and student evaluations) and a competitive salary package based on academic qualification, rank and teaching experience as stated above.
 </li>
 <li>
 Other benefits include medical insurance coverage for the employee &amp; dependents residing within the Kingdom (spouse &amp; 4 children below 24 years of age).
 </li>
 <li>
 Transport allowance.
 </li>
 <li>
 Round trip tickets (maximum 4: employee, spouse and 2 children below 18 years of age) for annual leave with paid annual (summer) vacation of two (2) months, plus 2 local paid holidays of about 15 days each (as applicable).
 </li>
 <li>
 Tuition fees of Saudi Riyals 30,000 maximum for children attending school within the Kingdom. Details will be specified in the contract.
 </li>
 <li>
 Free, furnished accommodation plus essential utilities and maintenance will be provided subject to availability, OR the successful candidate will be provided a housing allowance based on academic rank.
 </li>
 <li>
 End-of-service yearly gratuity, which starts on the 2nd year of continuous service (if the candidate completed a minimum of 2 years.)
 
 
 </li>
 </ul>
 
 About Prince Sultan University
 
 
 
 Prince Sultan University is the first private university in Saudi Arabia to have been awarded accreditation by the NCAAA (National Commission for Assessment &amp; Academic Accreditation). Further, it is the youngest university to have achieved such a milestone.
 
 
 
 Required
 
 
 
 Prince Sultan University is the first private university in Saudi Arabia and emphasizes excellence in teaching, research and community services. PSU offers a Preparatory Year Program in which students develop their English, Mathematics, Computer, and Physical Education/Health and Recreation skills to the standards required for study in the following English-medium undergraduate courses:
 
 
 <ul>
 <li>
 Computer and Information Systems
 </li>
 <li>
 Finance, Marketing, and Accounting
 </li>
 <li>
 Aviation Management.
 </li>
 <li>
 Engineering
 </li>
 <li>
 Law
 </li>
 <li>
 Architecture and Interior Design
 </li>
 <li>
 English, Translation and Applied Linguistics
 
 
 </li>
 </ul>
 
 PSU Also Offers Graduate Programs Leading To
 
 
 
 <ul>
 <li>
 Master&rsquo;s in Business Administration (MBA)
 </li>
 <li>
 Master&rsquo;s in Computer Information Systems
 </li>
 <li>
 Master&rsquo;s in Software Engineering/Cyber Security (MSE/MCS).
 </li>
 <li>
 Master&rsquo;s in Commercial Law
 
 
 </li>
 </ul>
 Please visit our website: www.psu.edu.sa if you wish to learn more about PSU.
</div>

Muller's Solutions

<div>M&uuml;ller's Solutions is looking for a passionate and knowledgeable AI Specialist to join our team. In this role, you will be responsible for researching, developing, and implementing AI solutions that address specific business challenges. You will work closely with other departments and stakeholders to identify areas where AI can enhance operations and improve decision-making processes.<h3 class="jobSectionHeader">
Key Responsibilities:</h3><ul><li>Work closely with clients to comprehend their business challenges and discover opportunities for AI-enhanced solutions.</li><li>Convert client requirements into technical problem statements and implementable project strategies.</li><li>Clearly articulate intricate AI and data insights in a manner that is understandable to non-technical stakeholders.</li><li>Transform analytical results into valuable business insights and strategic recommendations.</li><li>Create engaging visualizations, reports, and presentations to aid client decision-making.</li><li>Keep abreast of new AI technologies (such as GenAI, large language models, and computer vision) and evaluate their relevance to business needs.</li><li>Engage in workshops, training sessions, and client demonstrations to showcase AI capabilities.</li><li>Capable of designing AI use cases that align with the business needs of clients.</li><li>Collaborate with clients to tackle complex business challenges and create AI-driven solutions that yield measurable returns on investment.</li></ul>
Requirements<ul><li>Bachelor's degree in Data Science, Computer Science, Artificial Intelligence, Mathematics, Statistics, or related disciplines.</li><li>Proficient in analyzing data and recognizing patterns.</li><li>Experience in predictive modeling and analytics driven by artificial intelligence.</li><li>Strong critical thinking skills with a hypothesis-based methodology.</li><li>Effective communication skills and ability to foster relationships.</li></ul>
Benefits
Why Join Us:<ul><li><ul>
<li>Competitive salary + performance-based incentives.
</li><li>Be part of a fast-growing AI consulting leader in the MENA region.
</li><li>Work on high-impact projects with governments and top enterprises.
</li><li>Career growth opportunities in AI and digital transformation leadership.
</li><li>Collaborative, innovative, and entrepreneurial culture.</li></ul></li></ul></div>

AI Specialist

Tuwaiq Academy | أكاديمية طويق

<div>
 
 
 Job Description:
 
 
 
 A Senior Data Scientist with extensive experience in data analysis, predictive modeling, and artificial intelligence. You will join our team to analyze big data and produce outputs that support strategic decision-making in the organization. Your role involves designing and implementing data-driven solutions to enhance business performance and achieve organizational goals.
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 Data Analysis and Insights:
 
 
 <ul>
 <li>
 Collect and analyze large and complex datasets from various sources.
 </li>
 <li>
 Create reports and visual dashboards to support decision-making.
 </li>
 </ul>
 
 
 Develop Predictive and Analytical Models:
 
 
 <ul>
 <li>
 Design and apply machine learning models to optimize processes and predict future trends.
 </li>
 <li>
 Continuously evaluate and improve model performance.
 </li>
 </ul>
 
 
 Data Management and Infrastructure:
 
 
 <ul>
 <li>
 Collaborate with IT teams to ensure efficient organization and storage of data.
 </li>
 <li>
 Implement data cleaning and transformation (ETL) processes to prepare data for analysis.
 </li>
 </ul>
 
 
 Team Collaboration:
 
 
 <ul>
 <li>
 Work with marketing, sales, and management teams to understand their requirements and integrate data-driven solutions.
 </li>
 </ul>
 
 
 Research and Innovation:
 
 
 <ul>
 <li>
 Stay updated with the latest technologies and trends in data science to provide innovative solutions.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 
 
 Education and Experience:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
 </li>
 <li>
 At least 5 years of practical experience in data science or data analysis.
 </li>
 </ul>
 
 
 
 
 
 Required Skills:
 
 
 <ul>
 <li>
 
 Programming Languages:
 
 Proficiency in Python and/or R.
 </li>
 <li>
 
 Data Analysis:
 
 Experience with libraries such as Pandas and NumPy.
 </li>
 <li>
 
 Databases:
 
 Strong knowledge of SQL and experience with relational databases.
 </li>
 <li>
 
 Visualization Tools:
 
 Experience with tools like Tableau, Power BI, or Matplotlib.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Benefits:
 
 
 
 At Tuwaiq Academy, we don&rsquo;t just offer jobs &mdash; we build careers. Here&rsquo;s what makes working with us a rewarding experience:
 
 
 
 Competitive Compensation
 
 
 
 We offer a salary package that reflects your skills, experience, and the value you bring to our team.
 
 
 
 Comprehensive Health Coverage
 
 
 
 Your well-being matters. We provide medical
 
 VIP insurance
 
 plans that cover you and your family. As well as
 
 Parents Insurance
 
 .
 
 
 
 Educational Support:
 
 
 
 We offer
 
 educational assistance for your children&rsquo;s school expenses
 
 .
 
 
 
 Wellness Support
 
 
 
 We contribute to covering your
 
 gym memberships, fitness classes, and even sports equipment
 
 , because a healthy team is a strong team.
 
 
 
 Career Growth &amp; Development
 
 
 
 We invest in your future. From regular training programs to access to certifications, mentorship, and promotion opportunities &mdash; your growth is our priority.
 
 
 
 Work-Life Balance
 
 
 
 Flexible working hours and a supportive environment help you thrive both professionally and personally.
 
 
 
 Impact-Driven Culture
 
 
 
 Be part of a team that values innovation, collaboration, and making a real difference.
 
 
 
 Team Engagement &amp; Events
 
 
 
 Regular team-building activities, wellness programs, and employee appreciation events to keep the workplace fun and engaging.
 
 
 
 Modern Tools &amp; Tech
 
 
 
 Work with the latest technologies and tools that empower creativity and productivity.
 
</div>

Senior Data Scientist

EURAXESS Czech Republic

Physical Science and Engineering DivisionOrganisation/Company KAUST Department Physical Science and Engineering Division Research Field Geosciences " Geology Geosciences " Other Mathematics " Statistics Mathematics " Other Researcher Profile First Stage Researcher (R1) Recognised Researcher (R2) Established Researcher (R3) Positions Postdoc Positions Country Saudi Arabia Application Deadline 31 May 2026 - 23:59 (Asia/Riyadh) Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Jun 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Professor Max Frenzel is currently recruiting for a 2-year Post-doc position (extendable) to join the new Mineral Exploration and Exploitation Group at KAUST. The focus of the position will be on the development of new methods integrating a variety of data types (remote sensing, geology, geophysics, geochemistry) for geological modelling and advanced exploration targeting of mineral deposits. These workflows will then be applied in relevant Saudi Arabian contexts to help discover new ore deposits.The position will combine techniques from geological modelling, geostatistics, machine learning, and potentially geophysics (inversion) to develop new exploration targeting methods. These will be designed to make the most of the excellent outcrop conditions in Saudi Arabia, which means that a particular focus will be placed on the use of remote sensing data. Other relevant data types are geological maps, geophysical surveys (gravity, electromagnetic, seismic), and soil or stream sediment geochemistry. In terms of the application to specific regions in Saudi Arabia, the candidate will be free to choose their own case study(s). The willingness to collaborate closely with local exploration companies is expected.Saudi Arabia is a fast-developing country offering unparalleled opportunities in mineral resources and other geoscience-related fields. In particular, the recent opening of Saudi Arabia for international exploration companies has led to a substantial increase of activity in the mineral exploration sector. Given the great geological potential of Saudi Arabia for different types of mineral deposits, it is probably the country with the most exciting mineral exploration opportunities right now.<ul><li>Excellent coding skills in python, R, or another relevant language are expected, as demonstrated by previously completed projects.</li><li>Strong candidates will also have a firm background in geostatistics, geospatial modelling, and/or data science.</li><li>Excellent oral and written communication skills in English are required, as evidenced by a strong publication and conference presentation record.</li><li>In addition, candidates should hold a driver's licence or be willing to acquire one, and should be willing to undertake fieldwork.</li><li>Experience in the mineral resource sector is desirable but not essential.</li><li>Experience in conducting UAV surveys is desirable but not essential.</li><li>A completed PhD is sufficient for appointment as a postdoctoral researcher. For appointment as a research scientist, additional research experience of at least 2 years is required in the relevant areas highlighted above.</li></ul>Specific RequirementsEnglish (C1 / IELTS 7.0 equivalent or better)Level GoodResearch Field Physics " OtherGeosciencesEngineering " Geological engineering Years of Research Experience None Additional Information The position will include a competitive salary based on the candidate's qualifications and experience; benefits include medical and dental insurance, free housing on the KAUST campus, an annual travel allowance, 30 paid vacation days, and other generous benefits. KAUST is a vibrant and international community, with many opportunities for social, sporting, and learning activities outside of work.The successful applicant will be associated with the new Mineral Exploration and Exploitation Group at KAUST. The group will commence work in August 2025. Its main aim is to contribute to the development of mineral resources in Saudi Arabia by developing innovative approaches to mineral exploration, mining, and mineral processing. The working group will initially consist of 1 PhD student and 2 MSc students, but is projected to grow to 2 postdocs (incl. this positions), 3 PhD students, and a variable number of MSc students. In addition, KAUST provides a highly collaborative research environment, and active engagement of the holder of the position in collaborative activities within and outside of the research group will be strongly encouraged and supported.Eligibility criteriaApplicants must hold a PhD degree in a relevant discipline, as listed above, and must demonstrate fluency in English in writing, speaking and listening at the indicated levelSelection processReceived applications will be reviewed and suitable candidates interviewed on a rolling basis, starting from June 1, 2025.

Postdoctoral Researcher / Research Scientist in Data Science for Mineral Exploration

Robusta Studio

<div>
 
 About Octopus By RTG
 
 
 
 Octopus by RTG is the tech hiring and outsourcing arm of
 
 Robusta Technology Group
 
 , dedicated to connecting exceptional tech talent with top-tier organizations across the
 
 MENA, GCC, Europe, the US, and Canada
 
 . We specialize in building strong, long-term partnerships between skilled professionals and innovative companies. Our mission is to
 
 empower growth, innovation, and excellence
 
 by matching the right talent with the right opportunities.
 
 
 Currently, we are hiring a
 
 Data Scientist
 
 for one of our
 
 partner organizations in KSA
 
 on a
 
 1-year contract
 
 , offering the opportunity to contribute to exciting projects within a dynamic and forward-thinking environment.
 
 
 
 Main Responsibilities
 
 
 
 <ul>
 <li>
 Identify and prioritize AI/ML use cases that deliver measurable business value and ROI
 </li>
 <li>
 Develop, validate, and deploy machine learning models for fraud detection, claim risk prediction, customer segmentation, and pricing optimization
 </li>
 <li>
 Build and maintain end-to-end data pipelines including data preparation, feature engineering, and model deployment
 </li>
 <li>
 Implement advanced analytics techniques, including deep learning, NLP, and computer vision where applicable
 </li>
 <li>
 Collaborate with ML Engineers to productionize models using MLOps best practices and CI/CD pipelines
 </li>
 <li>
 Ensure compliance with Saudi regulations (PDPL, NDMO) for data usage, model development, and AI governance
 </li>
 <li>
 Implement model monitoring, drift detection, and automated retraining pipelines to maintain model performance
 </li>
 <li>
 Partner with business stakeholders to translate complex business problems into actionable data-driven solutions
 </li>
 <li>
 Conduct A/B testing and experimentation to measure model effectiveness and optimize outcomes
 </li>
 <li>
 Develop and deploy explainable AI (XAI) models ensuring transparency and regulatory compliance
 </li>
 <li>
 Prepare technical documentation, analytical reports, and executive dashboards on model outcomes and insights
 </li>
 <li>
 Lead knowledge transfer sessions and mentor junior data scientists and analysts to build internal capabilities
 </li>
 <li>
 Stay current with latest AI/ML research and evaluate new technologies and techniques for business applications
 </li>
 <li>
 Collaborate with the Data Engineering team to ensure high-quality, reliable data for ML models
 </li>
 <li>
 Support the development of enterprise ML platforms and reusable AI/ML components
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 
 Main Requirements
 
 
 
 
 
 Education:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field (required)
 </li>
 <li>
 Master's or PhD in Machine Learning, Data Science, Statistics, or Artificial Intelligence (preferred)
 </li>
 <li>
 Relevant certifications such as Google Cloud ML Engineer, AWS Certified Machine Learning, TensorFlow Developer, or Azure AI Engineer are a plus
 
 
 </li>
 </ul>
 
 Experience &amp; Skills:
 
 
 
 <ul>
 <li>
 5+ years of proven experience in Machine Learning, Data Science, and Applied Statistics
 </li>
 <li>
 Strong expertise in Python and ML frameworks (scikit-learn, TensorFlow, PyTorch, XGBoost)
 </li>
 <li>
 Proficiency in SQL and experience working with big data platforms (e.g., BigQuery, Spark, Databricks)
 </li>
 <li>
 Hands-on experience with MLOps tools such as Kubeflow, MLflow, Vertex AI, or SageMaker
 </li>
 <li>
 Demonstrated ability to work with structured and unstructured data (JSON, text, images)
 </li>
 <li>
 Deep understanding of statistical methods, experimental design, and hypothesis testing
 </li>
 <li>
 Proven track record in model deployment, monitoring, and lifecycle management
 </li>
 <li>
 Familiarity with cloud-native ML platforms (Vertex AI, Azure ML, SageMaker)
 </li>
 <li>
 Knowledge of AI governance frameworks, explainable AI (XAI), and model interpretability
 </li>
 <li>
 Experience with deep learning, computer vision, and natural language processing (NLP)
 </li>
 <li>
 Knowledge of generative AI, LLMs, and real-time or edge ML deployment
 </li>
 <li>
 Strong understanding of Saudi data regulations (PDPL, NDMO, SAMA)
 </li>
 <li>
 Experience in the insurance or financial services domain (fraud detection, pricing models, claims prediction)
 </li>
 <li>
 Excellent communication skills to explain complex analytical findings to non-technical audiences
 </li>
 <li>
 Strong leadership and mentoring abilities, with experience guiding data science teams
 </li>
 </ul>
</div>

Data Scientist - Onsite (Riyadh) - Octopus - Immediate hire

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