42 modelling-complexity-geocomputation Postdoctoral positions at University of Minnesota
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mainly be responsible for developing the building blocks of a forest planning model (adapting inventory data, assessing current growth and yield projections, defining current forest management strategies
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the atmosphere and understand transport pathways by combining observations of PFAS in precipitation from the National Atmospheric Deposition Program with atmospheric modeling techniques. This position primarily
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accurate electronic lab notebook. • Perform rigorous analysis and interpretation of complex datasets. • Prepare manuscripts for publication in high-quality, peer-reviewed journals. • Present research
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disease which combines behavioral and genetic models, metabolic, neuroendocrine and imaging techniques in living animals as well as sophisticated molecular and structural biology analyses of neuropeptides
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multiphase flow in porous media. 80% - Applying numerical and analytical infiltration models to quantify groundwater recharge potential under varying hydrogeologic conditions. In parallel, the researcher will
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publications • Excellent communication (verbal and written) Preferred Qualifications: • Experience with neurodegenerative disease models is preferred but not required. Job description: We are seeking a highly
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research and have a strong background in bioinformatics and large-scale data analysis, we encourage you to apply. Key Responsibilities Research Leadership & Data Analysis (80%) ● Lead the analysis of complex
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Dr. Shen Cheng and his internal/external collaborators. The research will primarily focus on implementing and developing innovative pharmacometric modeling approaches for pharmacokinetic
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metabolism in model systems. ● 15% Publication and presentation of data → The postdoctoral scholar is expected to communicate their research findings through publication in peer-reviewed research journals and
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neuroplasticity using rodent models. Concurrent research lines exploring the intersection of sex hormone signaling and respiratory neuroplasticity in aging, spinal cord injury, and stress models offer multiple