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, train, and evaluate reinforcement-learning agents that play classic and modern video games. Your work will focus on automated gameplay analysis, feature engineering from large-scale behavioural data, and
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, adapt, and effectively use large AI foundational models. Experience with distributed data systems such as Apache Spark. Expertise in analyzing large, complex, multi-dimensional datasets with various tools
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6 Jan 2026 Job Information Organisation/Company Sorbonne Université Research Field Chemistry Researcher Profile First Stage Researcher (R1) Recognised Researcher (R2) Established Researcher (R3
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University of California, San Francisco | San Francisco, California | United States | about 10 hours ago
MED-CORE-CARD Full Time 87346BR Job Summary The Research Data Analyst will work under the direction of Co-Directors of the Center for Biosignal Research (CBR) and report directly to the CBR
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 9 hours ago
at a PhD programme at the time of contract signing. Additional Information Benefits Monthly maintenance allowance: According to the values for Research Fellowships awarded by FCT in Portugal (https
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large caseload of study participants from study screening through end-of-study evaluations, including all necessary source documentation and data collection/entry. Establishes standard operating
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Senior Laboratory Animal Health Technician
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datasets or wildlife imagery Familiarity with data annotation tools and practices for large-scale datasets Knowledge of model deployment and optimization (e.g., ONNX, TensorRT, model quantization) Experience
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standardised formats. Administering confidential information, records, documents and collating data and information from University systems and external sources, in line with best practice, University records
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models and methods to collect, summarize, analyze, and interpret trends and patterns in complex data sets. Applies statistical theories to aid in the solution of research problems. Manages multiple large