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to develop learning-based model predictive control (MPC) algorithms for multi-agent multirotor drone navigation around vessels in maritime environments. The role will focus on integrating multirotor
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clinically characterized samples, and use the results to test and refine the lab’s theory of agency. The work will generate first-author papers and an agent-based research line the candidate can carry
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modeling Experience with machine learning, hydrologic modeling, or energy systems modeling (e.g., ParFlow, WEPPCloud, agent-based models) Proficiency in scientific programming languages (e.g., Python
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empirical findings into an agent-based model and cost-effectiveness analysis and to translate study findings into a decision-support toolkit for public health agencies and policymakers. The fellow is
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Royal Free-UCL Controlled Human Infection Model research team. This will include volunteer screening, consent, inoculation of SARS-CoV-2 challenge agent, clinical monitoring during the quarantine
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that is prohibited by law, or treated adversely or retaliated against based upon a protected characteristic. Diversity Statement: SUNY Brockport is committed to creating and maintaining an equitable