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Field
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project milestones and contribute to technical reports and project updates. • Prepare manuscripts, presentations, and other scientific materials describing research methods and findings. • Prepare materials
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computer science, data science, statistics, bioinformatics, electrical engineering, computer engineering, biomedical engineering, mechanical engineering, operations research, robotics, computational neuroscience
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computing, with a particular emphasis on methods tailored to study nonequilibrium quantum many-body systems. The position offers an exciting opportunity to contribute to cutting-edge research
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and the Behavioral Health Innovation and Dissemination Center (BHIDC) at the University of Utah are seeking a highly motivated postdoctoral research fellow with expertise in quantitative methods
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to scientific computing and other scientific domains. Candidates with strong backgrounds in stochastic analysis, numerical analysis, sampling methods, optimization, scientific computing, or related areas
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methods (e.g., variational autoencoders) applied to biomolecular dynamics data. ● Familiarity with elastic network modeling (ANM/GNM) or the ProDy software package. ● A track record of independent
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) and contribute to LU-PCG’s research under the U.S. Department of Energy’s (DOE) GENESIS Mission. Research will involve developing fast neural surrogate models, state estimators/virtual sensors, multi
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, including appropriate controls, statistical approaches, and methods to ensure reproducibility and scientific rigor. · Independently interpret experimental results, troubleshoot technical and
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regional agencies, a robust methodology for designing flood-retention basins and dams. We are looking for a candidate to test and develop statistical and simulation-based methods for estimating design floods
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research using mixed methods, qualitative and quantitative research designs including interviews, focus groups, surveys, and experiments, analyzing quantitative and qualitative data, publishing in leading