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. Long-horizon and safety-aware planning under uncertainty. Function 2 2. Learning-Based Perception and Control Multi-modal and foundation-model-based approaches for robotics, including: Multi-modal
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modeling, structural equation modeling) and/or structural MRI methodologies. Clear career commitment to brain and cognitive aging, Alzheimer's disease, or health disparities, as evidenced by relevant
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behavioral techniques Biyu Jade He - awareness and conscious/unconscious processing using EEG, MEG and MRI David Heeger = computational models of visual processing Roozbeh Kiani - visually based decision
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analysis, PDE-constrained optimization and optimal control, numerical analysis and scientific computing risk-averse and fractional models, digital twins and data-assimilating models, machine learning and
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statistical techniques (e.g., multilevel modeling, SEM) or qualitative analysis (e.g., grounded theory, thematic analysis). Experience with grant writing or collaborative team science. Physical Requirements
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of conceptualization, design, modeling, fabrication, and experimental validation of novel robotic and mechanical systems, including soft actuators, hybrid robotic mechanisms, sensing-enabled structures, and human
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challenges, and ensure the progress of the various projects. Participate in regular check-in team meetings, various cohort meetings, and problem-solving sessions with team leaders and communities. Collaborate
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and granular substrates. In this role, you will perform numerical simulation and reduced-order modeling of naturally-shaped granular materials interacting with specific foot structures. You will also
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system transformation. Fellows will engage in rigorous empirical, computational, and theoretical research that integrates engineering models of power systems with modern econometric and economic analysis
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software. Familiarity with gravitational-wave modeling and catalog/campaign paper authorship. Physical Requirements & Working Conditions None Degree Requirement Listed degree qualification is required