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uncertainty-aware, optimization-based motion planning at the control and planning layer. You will develop scalable trajectory optimization and real-time Model Predictive Control (MPC) strategies that use the
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-principles modeling, machine learning, reduced-order techniques, and computational fluid dynamics. The project will deliver the next generation of predictive tools for the design and optimization of low
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statistics, optimization and performance testing of software algorithms and with scientific software development in Python are all favorable assets. Our group and research- and what do we offer
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. NOTE : This is a full-time, fully benefited position that can accommodate a 1.00 FTE /40 hour per week employee, or a 0.75 FTE /30 hour per week employee. See: https://bapatlab.org Learn about the great
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theory in a variety of subfields of statistics relevant to AI-enabled experimentation, including: experimental design, clinical trial design, and sequential experimentation Bayesian optimization and
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support system facilitated by the BMS office and vibrant student community. https://www.math-berlin.de/students “Mathematics as a whole“ is a leading principle of the BMS. Its focus encompasses fields
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crystallographic data and perform molecular docking for ligand optimization perform extensive molecular dynamics (MD) simulations (AMBER, NAMD, GROMACS) in fully hydrated lipid bilayer systems to replicate
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<span lang="en">Helmholtz-Zentrum Dresden-Rossendorf e. V.</span> | Dresden, Sachsen | Germany | about 16 hours ago
Brayton cycle based on literature and experimental results
- Simulation and optimization of the operating behavior of flexible energy systems with integrated sCO2 cycles, including control and
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renewable energy. You will investigate quantum and hybrid quantum–classical methods for power system analysis and optimization, with emphasis on their practical performance and suitability for real
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sequential experimentation Bayesian optimization and active learning contextual bandits, reinforcement learning and online experimentation causal inference and treatment-effect heterogeneity statistical