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projects ranging from score-based generative models, energy-based models, Bayesian analysis of graph and network structured data, highly multivariate stochastic processes; with data applications ranging from
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‘best-practices’ in semiconductor processing. Qualifications A successful candidate should have: M.S. or PhD in Physics, Electrical Engineering, Materials Science, or related Engineering discipline
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on application to industrial processes. The candidate will conduct CFD simulation for addressing complex single and multiphase reacting flows in complex geometries. Research and development activities will include
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