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populations we serve, specifically those in Utah, Nevada, Montana, Wyoming, and Idaho. Minimum Qualifications Preferences • PhD in Epidemiology, Nutrition, Public Health, Biostatistics, or related field
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, geotechnical laboratory testing, and complementary numerical simulations to improve understanding of soil behavior and geotechnical system performance for infrastructure, energy, and sustainability applications
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energy-related materials. The successful candidate must hold a PhD in Chemistry, Materials Science, Chemical Engineering, Physics, or a closely related discipline, within less than 5 years post receiving
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you: To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in Biology or similar At least one first-author publication in a
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of collective effects from external and internal fields, and further optimisation of the design Start-to-end simulations to verify results Participation in day-to-day operational tasks About you: PhD in
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modeling and simulation • Development in Finite element and alternative discretization methods (e.g. Lattice Boltzmann methods) • High-dimensional algorithms and high-performance computing
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, use imitation learning algorithms to learn pick-and-place actions, design HRI experiments with users, evaluate data, and share the code and benchmarks in open repositories. This postdoctoral position is
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modeling—integrating first-principles simulations with machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model
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modeling—integrating first-principles simulations with machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model
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to work well with minimal supervision and with PhD students and external collaborators. Experience related to performance analysis and optimization, GPU architecture, and code generation are highly