62 phd-mathematical-modelling-ecological-modelling Postdoctoral positions at University of Minnesota
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development; and opportunities for outreach and community engagement. Qualifications Required Qualifications: PhD in limnology/oceanography/microbial ecology or related field Preferred Qualifications
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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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required qualifications must be documented on application materials. Required Qualifications: • PhD in Immunology or a closely related biomedical field • Strong scientific knowledge and hands-on experience
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during pregnancy, and in animal models of obesity and diabetes during pregnancy and assess the metabolic outcome of the offspring across lifespan. Responsibilities Include: Research- 70% • Conduct animal
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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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%). • Contribute to data and lab management (5%) Qualifications Required Qualifications: • PhD, DO, MD or similar degree in health sciences or related field • 3+ years experience in biological sciences laboratory
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on application materials. Required Qualifications: • PhD in Immunology, Molecular Biology, or a closely related biomedical field • Strong foundation in cellular and molecular immunology, with demonstrated
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on application materials. Required Qualifications: • PhD in Immunology, Cell Biology, or related biomedical sciences • In-depth scientific expertise in cell death, macrophage biology, and fibrotic disease
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-tuning DNA sequence/genomic/omic large language models (gLLMs) with their applications to genetics, e.g. in identifying causal genes for Alzheimer’s disease (AD). You will have access to state-of-the-art
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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