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motivated researcher to develop a strong independent research profile at the interface of Bayesian statistics, clinical trial design, optimization, computational statistics, and/or translational cancer
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Can technology learn to listen to how athletes feel, and not just to what the sensors measured? In the ASPIRE project, we develop knowledge for the new generation of sports tracking technology that
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, artificial intelligence, network science, Bayesian methods, spatiotemporal methods, visualization, evolutionary game theory, infectious disease modeling, and assistive and accessibility technologies, with a
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grant project “Driving innovation in crop resilience through Comparative QTLomics.” The selected candidate will contribute to five main objectives: 1. Apply large language models (LLMs) to collect
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
, educational staff at MIT, and faculty at partner institutions in Africa to develop courses that include learning objectives, detailed content outlines, measurable outcomes, interactive activities, engaging
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projects or project tasks toward research objectives 26. Inventory management for reagents/orders/cells; track expenses 27. Ensure compliance with lab regulations and completion of corresponding paperwork
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device-relevant properties Design active learning, Bayesian optimization, uncertainty-aware modeling, and other adaptive experimental design workflows to guide experiments and improve data efficiency in
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groups. The theoretical methods include stochastic modelling, MD simulation, and Bayesian inference; the position will also include joint collaborative projects with other group members and our
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theoretically, in tight collaboration with experimental groups. The theoretical methods include stochastic modelling, MD simulation, and Bayesian inference; the position will also include joint collaborative
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an advantage: Rodent social behaviour, empathy-related behaviour, aggression, fear, or reinforcement learning tasks. Computational modelling, Bayesian statistics, reinforcement learning models, or model-based