54 parallel-programming "U.S" "Computer Vision Center" Fellowship positions at Michigan State University
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SWAT and MODFLOW. Exceptional Fortran programming expertise is essential and will be a major selection criterion. The selected candidate must be able to read, understand, modify, extend, compile, debug
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candidate will conduct model verification, sensitivity analysis, calibration, validation, performance evaluation, and troubleshooting. The position requires strong scientific programming and software
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, Office of Research and Innovation, Michigan State University. This program is aligned with the research priorities of the U.S. Department of Health and Human Services (HHS). Equal Employment
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(MSU), has been a leader in international professional training, capacity building, and cultural exchange programs for 35 years. VIPP works with ISP, MSU campus partners, U.S. and international
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that can guide on-the-ground conservation delivery for waterfowl, other wetland wildlife, and societal benefit. The selected candidate will be a member of the U.S. Geological Survey’s Michigan
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parallel projects will ensure the development of independent projects to support the long-term career goals of the applicant. Generally, the project will center around leveraging bacterial and mammalian
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with the Quello Center for Media and Information Policy in the Department of Media and Information and the Future of Work Initiative in the College of Social Sciences at Michigan State University. The
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Computer programming skills Desired Qualifications Experience developing computational tools for biomolecular systems Experience training machine learning models Experience working in a collaborative
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. Proficiency in computer programming and data analysis. Demonstrated productivity in previous work. Desired Qualifications A background in cognitive neuroscience of relevant research domains. Familiarity
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related field Experience in collecting forestry data under a variety of field conditions. Expertise in managing and analyzing large and complex datasets Strong coding skills in R and/or other programming