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-agent reinforcement learning and generative agent simulations, and economic, political, and cultural evolutionary theory to explore the dynamics of normative systems and explore how to build AI systems
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of microphysiological systems or organ on a chip model for viral agents. Research project emphasis is placed on determining virus growth and stimulation of an appropriate immune response that mimics what is observed in
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orally and in writing. Experience in at least one of the following topics: mathematical biology, mathematical modelling, agent-based modelling, Bayesian inference, optimisation Demonstrated ability to use
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additional years, contingent upon project needs and funding availability. What are the provisions? You will receive a stipend to be determined by USAMRIID. Stipends are typically based on a participant’s
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learning technologies. The CNS’s ongoing projects focus on virtual humans and advancing simulation science-based theories and concepts in social and clinical education. Interests in extended reality
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other public events. Required Qualifications: Ph.D. in computer science, physics, data science, or closely related field; Experience in data mining and machine learning, or experience with agent-based
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: Designing and implementing experiments and surveys Managing and analyzing large datasets Developing and testing AI agents and prompts Coordinating with international partners and research teams Writing