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. Promote effective use of the Epic system, identify and prevent bad habits and workarounds. Serve as a change agent to promote, effect and support change in workflow and behaviors related to the Epic system
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their individual growth and development. Support primary advisor to the house councils in assigned community. Serve as a referral agent to campus resources, providing non-clinical counseling and crisis management
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their purification and conjugation to cytotoxic agents. Assessment of DAR (drug-to-antibody ratio). Basic biochemical techniques for handling proteins and nucleic acids. Experience working with laboratory animals
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 2 months ago
EDUCATION AND EXPERIENCE: - Experience with system dynamics, agent-based modeling, social simulation, computational social science, model validation/testing, causal or feedback modeling, or policy modeling
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agents. The Postdoctoral Associate will work as part of a highly integrated research team utilizing a variety of laboratory technologies and approaches. Specialized skills in molecular/cellular biology and
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Multimodal Models Generative AI, Agentic AI, Physical AI, and Embodied AI Trustworthy AI, including explainability, auditability, and privacy Edge AI and model optimisation Physics-informed neural networks
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for Disease Control and Prevention and the World Health Organization. As a reference laboratory for the Department of Defense, USAMRIID sets the standard for identification of biological agents. The Institute's
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of biological agents. The Institute's workforce represents some of the top infectious disease and biological defense experts in the Nation—indeed, in the world. For more information about the USAMRIID, please
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European Molecular Biology Laboratory (EMBL) | Brandenburg an der Havel, Brandenburg | Germany | about 2 months ago
modelling, foundation models, cross-domain/-modality learning, explainable AI and mechanistic interpretability, representation learning, Bayesian inference, causal inference, active learning, AI-based agents
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Lab on reinforcement learning methods for control of physical processes, with applications in additive manufacturing and help develop and evaluate RL agents in simulated environments and contribute