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. Candidate should have experience in sensor technology, irrigation, and agricultural field research. Excellent statistics practical knowledge. Familiarity with programming languages such as Python, R, and Java
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) research initiatives, such as: (1) the MSU Water Alliance https://water.msu.edu/ and its National Science Foundation Research Traineeship WaterCube program https://water.msu.edu/watercube (2) the U.S
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of Electrical and Computer Engineering department has strong interdisciplinary research and educational programs on a foundation of core electrical and computer engineering disciplines and provides first-class
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students for successful clinical and research careers in speech-language pathology and related fields. The Department is housed within MSUs world-renowned College of Communication Arts and Sciences
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to maintain and operate GCMS and LCMS systems Coordination of major repairs with vendors, and management of spare parts and inventories Maintaining GC/MS and LCMS data system computers and archiving of data
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globally. The college carries out its mission through educational and research programs over eight departments tackling interdisciplinary themes such as computational sciences, energy, health, manufacturing
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, and inclusion. Minimum Requirements Knowledge equivalent to that which normally would be acquired by completing a four year college degree program in Medical Technology or related science field; one
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appointment, with an anticipated start date of August 16, 2025. Successful candidates will be expected to develop a sustainable, externally funded, and internationally recognized research program; contribute
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mission through educational and research programs over eight departments tackling interdisciplinary themes such as computational sciences, energy, health, manufacturing, materials, mobility, security, and
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regression techniques. Strong quantitative and programming skills (e.g., R, Python, or MATLAB). Solid foundation in advanced mathematics, including topics such as real analysis, complex analysis, computational