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Army Institute of Research (WRAIR) DoD's premier research enterprise for infectious diseases, brain health, and performance optimization, is offering this Postdoctoral research opportunity to conduct
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-fidelity modeling, digital twins, generative models, adaptive optimization, or autonomous experiment–simulation workflows. Excellent written and oral communication skills. Motivated self-starter with
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Albert Einstein College of Medicine (Bronx, NY) | New York City, New York | United States | 2 months ago
who are interested in applying their expertise to small-molecule drug discovery and translational biomedical research. The project will involve the development and optimization of cell-based and
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numerical techniques to study collective states in active matter. Depending on the candidate's profile and interests, the research can involve various aspects of the modeling and the optimal control of active
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the recently upgraded hadron calorimeter, trigger system optimization, and improvement of particle flow reconstruction. We are currently engaged in measurements involving the top quark, searches for rare Higgs
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analysis, with the long-term goal of enabling health-aware battery management and optimized charging strategies. Qualifications Requirements A doctoral degree or an equivalent foreign degree in Control
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of the produced powders and films: SEM/EDS, TEM, XRD, ICP-OES, EBSD, etc. Correlate material morphology and composition with final TE material and device performance. Develop TE devices optimized for both energy
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, or cyber-physical systems Strong expertise in at least one: power system dynamics, inverter-based resources, microgrid modeling, or nonlinear control Solid foundation in dynamical systems, optimization
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optimization, and application-driven performance analysis for HPC, scientific Artificial Intelligence (AI), and scientific edge computing. We are a leader in computational and computer science, with signature
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AI-driven decision making. It will be conducted in collaboration with the Automatic Control group (from Department of Electrical Engineering) and the Mathematical Optimization group (from Department