65 phd-in-mathematical-modelling-of-biochemical-reactions Postdoctoral positions at University of Minnesota
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Qualifications Essential Qualifications • PhD in mathematics, science or STEM education research or equivalent (e.g., PhD in biological field with dissertation on discipline-based education research) • Experience
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%-100% effort. Qualifications All required qualifications must be documented on application materials. Required Qualifications PhD in Biomedical Eng., Computer Science/Eng., Electrical Eng., Math
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skills in R programming - Working knowledge of Python - Experience with basic analyses to characterize gut microbiomes, including diversity analysis, differential abundance analysis, modeling microbial and
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field deployment 30% modelling of whole-farm greenhouse gas fluxes 20% analysis of trace gas flux data and model outputs 30% manuscript writing & publication Qualifications Required Qualifications PhD in
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neural populations and their application in animal models In the Department of Neurosurgery. There will be opportunities to lead a team of students, contribute to grant writing, engage in professional
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and then model their space use and behavioral patterns. The post-doctoral researcher will also be responsible for coordinating a team to deploy and monitor behavioral playback cameras, developing a data
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, biochemical and molecular biological techniques is used to study the underlying mechanisms of pulmonary hypertension and to find new targets to develop novel therapeutically effective treatments for patients
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, performing, analyzing, and writing up to report for publication behavioral neuroscience experiments addressing questions of decision-making in rodents Qualifications Required Qualifications: PhD in
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The Nguyen Lab is currently developing small molecule probes, biochemical, cell biological and genetic approaches
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-channel electrophysiology •Any prior work in mathematical models of decision-making •Prior work with psychiatric patient populations or the biological mechanisms of mental illness About the Department