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Field
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. Develop and apply ab initio computations, molecular dynamics simulations, and machine learning models. Collaborate with other researchers within the group and external partners. Present research findings
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research, with a particular interest in decision/simulation modeling and cost-effectiveness analysis. The ideal candidate will have strong quantitative skills and an interest in applying modeling
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to support affordable, decarbonized, and resilient water supply. The candidate should have strong experience simulating water treatment unit processes (e.g., activated sludge, denitrification, anaerobic
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on reliability, security, and resilience of microgrid systems. This includes advanced control system design, modeling and analysis, control architecture design and communication-based control and optimization
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a PhD’s degree in the area of power and energy systems. Good experience in one or more of the following topics: power system stability and control, power system modeling and simulation, inverter-based
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, mechanical engineering, or related field. Research experience in robot manipulation, robot learning (imitation, reinforcement learning and /or foundation models) and/or robot perception (vision, depth, touch
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of decarbonization policy pathways for electric power systems. Desired experience includes optimization and simulation of electric power systems under uncertainty, programming in Python, Julia, and/or MATLAB, and
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modeling and bioenergetic simulation. The position is funded for an initial period of 1 year. However, we are deeply committed to the training and professional development of our post-docs, and intend
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dynamics enabling naturalistic animal behavior? Our labs aim at building mechanistic models of brain function grounded in a combination of theoretical approaches, neural network-based simulations, and
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. Active research thrusts within the AiPEX lab include AI for complex physics-based modeling and simulation, AI for enhancing human performance and decision making, AI for advancing personalized learning