44 modelling-complexity-geocomputation Postdoctoral positions at University of Minnesota
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Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The primary responsibility of this postdoc position will be to probe for Beyond the Standard Model physics in the Mu2e
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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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Qualifications: Strong background in modeling and analytical skills using OpenSees and Abaqus. Experience in large-scale testing. Previous design experience in North America is considered an asset. Proficiency in
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inflammation can promote atrial electrical, Ca2+-handling and structural remodeling that initiates AF in a model of metabolic syndrome. You will be expected to use mouse models to be both mechanistic and
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complex decision-making, and specifically in governing the balance between flexible and rigid decision styles. Tools to be employed (and on which we can train you) include: •Novel high density probes
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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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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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Redshift Survey (GRS) team. The appointment will focus on simulations and analysis that underpin the survey: end-to-end grism simulations and realistic mock catalogs; modeling and optimization
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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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, protein design, engineering and purification, strain engineering and microscopy (fluorescent, TEM, SEM, AFM) and analytical methods (HPLC, GC, rheology) and/or computational analysis/modelling of biological