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numerical models and machine learning tools to predict loads, assess structural responses, and identify damage under extreme conditions. By combining computational simulations with data-driven approaches
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Search (https://tcs.ucop.edu/non-academic-titles) Please note: An offer will take into consideration the experience of the final candidate AND the current salary level of individuals working at UCSF in a
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for the captioned post. Duties and Responsibilities Conduct advanced research in structural health monitoring, including hardware development. Perform numerical studies and model testing. Analyze and interpret data
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learning and statistics. A good command of Python programming is essential, as is a good command of English, both spoken and written. Skills in optimal transport theory and knowledge of generative models
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, compliance, and user experience are optimized while mitigating risks associated with unauthorized access and identity theft. This position must stay informed of new technologies and respond to vulnerabilities
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: Perform high-fidelity thermal and mechanical numerical simulations for metal additive manufacturing. Develop and implement PIML models for analysis and optimization of metal additive manufacturing
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rehabilitation services designed to restore patients to their optimal functional capacity. The hospital is a 52-bed rehabilitation hospital on the Sacramento medical center campus. It is equipped with leading-edge
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& Optimization: Ability to obtain diagnostic‑quality images in accordance with established protocols, even in difficult patient scenarios. Strong Clinical Documentation & Reporting Skills:Ability to record
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renewable as Professor of Practice. Applications received by February 1, 2026 will receive optimal consideration; however, the position will remain open until filled. The successful candidate will be expected
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modeling and numerical methods Experience with multiphase flow modeling (e.g., TFM, CFD-DEM, DNS, LBM) Solid programming skills Experience working in Linux/HPC environments Ability to conduct independent