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include: Engaging and collaborating with MSU and Henry Ford Health researchers who use (or plan to use) advanced computational resources in their research, including MSU’s High Performance Computing
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organizing satellite and reanalysis datasets (SMAP, ECOSTRESS, OCO-2/3 SIF, MODIS, ERA5, AmeriFlux) Writing and maintaining Python processing scripts, run on the MSU High Performance Computing Center
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. CMSE centers around computational approaches, encompassing algorithm development, high-performance computing, scientific modeling, and data science. The department has an active research community
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-engineering skills, including experience with Fortran and Python and, preferably, C or C++, APIs, dynamic-link libraries, version control, Linux environments, and high-performance computing. The candidate
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. Significant experience using Python for high performance applications with libraries such as: Numpy, Numba, CuPy, and PyQtGraph Significant experience using C++ for numerical computing applications
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error correction codes and/or decoders for quantum error correction Experience with Python programming Experience with high-performance computing Experience with machine learning (theory and/or
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environments, and high-performance or parallel computing is desirable. The candidate will also prepare technical documentation, reports, peer-reviewed publications, and presentations and collaborate
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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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independently Confidence with computational biology including use of programming languages such as R, python and some familiarity with high performance computing Excellent communication and interpersonal
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-performance computing. In addition, Dr. Topp is spearheading the development of a new X-ray imaging facility with focus on non-destructive, high-resolution analysis of root growth and soil interactions