12 environmental-modelling "https:" Postdoctoral positions at Michigan State University
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modeling of associated environmental and social factors. Strategy drafting To lead the development of a draft Michigan waterfowl habitat conservation strategy which defines and assesses progress towards
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: 1147547 Position Summary The Biomechanics Lab in the Department of Mechanical Engineering at Michigan State University is recruiting a Postdoctoral Research Associate to work on computational modeling
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Sciences Internal Number: 1148598 Position Summary Postdoctoral positions funded by the NIH and MSU Research Foundation are open in the laboratory of Dr. Dohun Pyeon (http://www.pyeonlab.org/ ) at Michigan
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PET resins and develop simple models through conventional statistical analysis methods to be able to screen PCR PET resin material to enable its use in industrial packaging applications. In
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for this role will possess experience in empirical research involving panel data econometrics, causal inference, trade modeling, and environmental policy analysis. Experience with forest carbon markets, forest
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 28-Jul-26 Location: East Lansing, Michigan Type: Full-time Categories: Academic/Faculty Environmental Sciences
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for three (3) professional referneces Special Instructions Inquiries regarding position can be sent to ([email protected]) Review of Applications Begins On 07/28/2026 Website https://www.canr.msu.edu/psm/ MSU
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references Review of applications will on begin July 9, 2026, and continue until the position has been filled. Website https://www.chemistry.msu.edu/ Department Statement Michigan State University has been
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Internal Number: 1147524 Position Summary The postdoctoral scholar will contribute to projects analyzing and modeling digital socio-technical systems. Our work examines factors that shape the development
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learning at a large scale. - Expertise in theories and methods related to the assessment of mechanistic reasoning, systems thinking, and modeling. - Strong statistical skills. - Innovative approaches