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Scientific Computing: Design and analyze quantum algorithms for optimization, combinatorial search, differential equations, scientific simulation, and other computational challenges arising in engineering
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, brain injury, and stroke, and develop DRCs for these populations. We seek a motivated researcher from rehabilitation science, implementation science, informatics, or health services research, interested
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Science, Data Science or a closely related field is required. The successful candidate will have a strong foundation in machine learning, artificial intelligence, statistical learning, scientific computing, data
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role in both the scientific application and open-source software development of UXarray, a Python package that extends Xarray to provide native support for horizontally unstructured computational meshes
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SPECIFICS The Department of Materials Science and Engineering, in the College of Earth and Mineral Sciences is seeking a postdoctoral scholar. The final candidate will: o Develop phase-field models and
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computational analysis of proteomics data is highly desirable. Experience with Python, R, or related scientific computing tools; proteomics software platforms; biological databases; data repositories
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research university with significant strengths in cybersecurity, artificial intelligence, quantum science, computational and data sciences, national security, and interdisciplinary research. This position
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for translating scientific evidence to policymakers. This exciting opportunity would train a Post-Doctoral Scholar in the science of science impact by developing their research expertise in the scholarly study of
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students and for collaborative work within the Institute for Gravitation and the Cosmos and the Institute for Computational and Data Science. The candidate must have a PhD in Physics, Astronomy or a closely
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collaborations with theoretical/computational efforts focused on materials growth. Requirements include: a Ph.D. in Materials Science and Engineering, Nanomaterials, Nanotechnology, or a related field by the time