35 high-performance-computing Postdoctoral positions at Stony Brook University in Ireland-University-Ranking-2024
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start date. Preferred Qualifications: Research experience in computer vision, NLP, geospatial data systems, or high-performance computing. Brief Description of Duties: The Postdoctoral Associate will
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potentials or force fields (for example MACE, NequIP, DeePMD). ● Experience running scientific calculations on Linux-based high-performance computing clusters, including scripting or workflow automation
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models (rodent handling/surgery experience a plus). ● Familiarity with quantitative/computational approaches (e.g., R, Python, image analysis, statistics) is a plus but not required. ● Ability
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: ● Power module packaging and integration. ● High-density power converter design/prototyping, topology/loss analysis (including magnetic losses), thermal/EMI analysis. ● EMI emission and filter
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: ● Power module packaging and integration. ● High-density power converter design/prototyping, topology/loss analysis (including magnetic losses), thermal/EMI analysis. ● EMI emission and filter
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for techniques. Under direct supervision of Dr. Jyoti Misra , the incumbent will perform the following duties: ● Maintain Drosophila stocks, setup genetic crosses, perform dissections, immunostaining and
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motivated candidates for postdoctoral fellow related to chronic kidney disease. Our research program focuses on identifying mechanisms involved in the progression of chronic kidney disease. Specifically, we
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motivated candidates for postdoctoral fellow related to chronic kidney disease. Our research program focuses on identifying mechanisms involved in the progression of chronic kidney disease. Specifically, we
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that demonstrate high potential for research impact. AI Innovation Postdoctoral Scholars: The AI Innovation Institute (AI3) at Stony Brook University invites candidates for a large cohort of fully-funded
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) ● PhD (or foreign equivalent) in Applied Mathematics, Physics, Theoretical/Computational Biology