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Field
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Optimal Control Theory Strong programming skills in C++/Python/MATLAB Familiarity with parallelization and high performance computing (CPU and GPU friendly code) Experience with Machine Learning, generative
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inclusion (EDI) are a key component of the University’s Strategy and a central part of everything we do. We also live by our Purpose and Values and our Staff Code of Conduct. At Durham we actively work
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diagnostics (risk assessment), and/or interventions in the forensic field. You are familiar with theories and explanatory models regarding the development and subtyping of antisocial behavior (e.g., criminality
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Previous Job Job Title Post-Doctoral Associate Next Job Apply for Job Job ID 370660 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular Job Code 9546 Employee
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for photophysical simulations (MOMAP, FCclasses, or custom handmade codes) are prioritized. In order to communicate with experimentalists (synthetic chemists and experts in device engineering) the basic knowledge in
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of Probability Theory and Stochastic Processes. Deadline: October 15, 2025 Applications should be sent through https://forms.gle/eebZAJtrzKZKoYDr7 by the deadline. Two confidential reference letters should be
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of Probability Theory and Stochastic Processes. Deadline: October 15, 2025 Applications should be sent through https://forms.gle/eebZAJtrzKZKoYDr7 by the deadline. Two confidential reference letters should be
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Contribute to the preparation of scientific and technical reports. Develop and apply methodologies based on Density Functional Theory (DFT) to complex systems. Support simulation tasks and results analysis
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practice as well as in theory. Your primary responsibilities will include: Investigate, develop and validate new models to simulate wind turbine response in HAWC2 at different fidelity levels. Validation
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expertise in neuroscience, artificial intelligence, and cognitive psychology to develop a unified theory of auditory-scene analysis in brains and machines. Close collaboration with Prof Elia Formisano's group