1,044 parallel-computing-numerical-methods "Institute of Computer Science" positions at Michigan State University
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of the appointment. Preferred Qualifications: Candidates with strong backgrounds in kinetic equation, numerical analysis, scientific computing, PDE together with research experience in scientific
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Natural Science and the College of Engineering. CMSE centers around computational approaches, encompassing algorithm development, high-performance computing, scientific modeling, and data science
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that is potentially renewable on an annual basis contingent upon satisfactory performance and availability of funding. The mission of CHaRMNET is to develop novel numerical methods that allow us to
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applications for the position of Director. This 12-month tenure-stream position will have an anticipated effort distribution of 30-50% administrative leadership, with the balance in research, teaching, and
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other version-control systems, Linux, high-performance computing, parallel computing, or automated testing is also desirable Strong understanding of WASP water-quality and contaminant fate-and-transport
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Position Summary The Institute of Water Research is seeking a qualified Postdoctoral Scholar to develop, test, and document an integrated modeling framework linking the Soil and Water Assessment Tool
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interpretation and presentation of research results. Desired Qualifications Minimum Requirements Master's degree in Physics, Statistics, Computer Science, Mathematics, Applied Mathematics
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systems, including embedded and resource constrained systems with various heterogenous computing topologies Additional responsibilities include Assisting with development of GUI software tools to
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Science at Michigan State University (MSU) leads an open-rank, inter-college search with the CREATE for STEM Institute, the Program in Mathematics Education (PriME), and the Departments of Computer Science
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aspects of socio-technical systems. Data science skills and an interest in spatial modeling are highly desirable. Experience with multi-disciplinary teams deploying mixed methods in complementary ways