106 data-science-"https:" "https:" "Constructor University" Postdoctoral positions at Michigan State University
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data analysis. CMSE offers undergraduate, master’s, and Ph.D. programs in data science, emphasizing both research and teaching to support student growth. MSU Statement Michigan State University has
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Position Summary The TARDIS collaboration is actively applying and extending the Monte Carlo radiative-transfer open-science framework TARDIS (https://tardis-sn.github.io/) to model the physics of
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positions, directly supported by TEMPEST, a new National Science Foundation Science and Technology Center, led by Prof. Michael S. Murillo at MSU: https://tempest-stc.msu.edu The successful candidates will
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Multiple Research-Intensive Associate/Full Professor Tenure System Positions & an 1855 Professorship
who conduct translational science with marginalized communities using community-engaged, equity-focused partnerships. View Position Requirements and Apply to job #1061811 https://careers.msu.edu/jobs
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The Department of Computational Mathematics, Science and Engineering (CMSE) at Michigan State University invites applications for a postdoctoral position. Candidates are expected to have received a
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Position Summary The Michigan State University Department of Energy Plant Reseach Lab (MSU DOE-PRL) for a Postdoctoral Associate in research on plant endomembranes July 1, 2026. The postdoctoral
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will work on two funded projects: Turning MiCorps community science data into community water solutions (funded by the Mott Foundation) and Quantifying the interactive effects of human disturbances on
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Position Summary The Lark Lab at Michigan State University seeks a postdoctoral researcher with expertise in satellite remote sensing and spatial analysis to study agricultural land management in the
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Position Summary The Postdoctoral scholar will be co-mentored by Michigan State University PI's Alex Dickson (Biochemistry and Molecular Biology, Computational Math, Science and Engineering CMSE
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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