47 phd-mathematical-modelling-ecological-modelling Postdoctoral positions at University of Minnesota
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at the intersection of systems neuroscience and computational modeling. Our lab is broadly interested in Bayesian inference, perception, multisensory integration, spatial navigation, sensorimotor loops, embodied
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The research will focus on hybrid AI modeling and agroecosystem sustainability, in collaboration with the AI-CLIMATE
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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
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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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scholars specializing in dynamical systems modeling of neuronal networks for work on a BRAIN Initiative-funded R01 in collaboration with Gordon Smith at the University of Minnesota and Audrey Sederberg
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) the names and contact information of at least three professional references. Qualifications Requirements Required Minimum Qualifications: PhD in Microbiology, Microbial Ecology, or a closely related field
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mechanisms of fertility loss in females, the role of the microbiome in reproduction, susceptibility of hens to diseases including avian influenza, using organoid models to investigate reproductive function and
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) Qualifications Essential Qualifications PhD in forestry or closely related field such as land resources Preferred Qualifications Have experience with bark beetles, tree defenses, and climate data Have experience
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-funded project on microbe-mediated asexual reproduction. The lab uses insect models with a major focus on Wolbachia and other intracellular infections that alter animal reproduction. Research projects
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diet (HFD) feeding studies in mice to induce weight gain during pregnancy, and in animal models of obesity and diabetes during pregnancy and assess the metabolic outcome of the offspring across lifespan