72 scholarship-phd-agent-based-modelling Postdoctoral positions at University of Minnesota
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Duties: 85% lead soil data analysis, model implementation, and dissemination of research findings 5% development and guide
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of stable isotopes, mass spectrometry, and computational modeling to quantify in vivo metabolic fluxes in genetically-engineered mice. Under the direction of Curtis Hughey, the postdoctoral associate will
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, Dementia, and Long-Term Care will nurture scholars with interests in gerontology, geriatrics, long-term care (e.g., family, community-based, or residential), clinical intervention, health disparities, and
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for H-1B visa sponsorship. Qualifications *Required qualifications include: -PhD in Biomedical Sciences, Biomedical Engineering, or a closely related field. -Demonstrated expertise in thermal modulation
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the application of machine learning techniques (e.g., doc2vec, encoder models, multi-modal embeddings, large language models) to map concepts and their relationships, tracing how they change, merge, or diverge
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diseases affecting potatoes, with a focus on identifying key molecular mechanisms and the metabolites of Verticillium wilt and potato interaction, as well as characterizing microbial biocontrol agents
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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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that adhere to University policy. Assist other lab/community members, as needed. Qualifications Required Qualifications PhD in Structural Engineering, Civil Engineering, or closely related field Preferred
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working with infectious agents. Experience with DNA subcloning, cell culture, and routine molecular and virological technologies. Experience working on innate or cell-mediated immunity and at an ABSL2 and
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machine learning analyses will be performed to determine correlations across stimulation settings and body systems as well as to develop predictive models and biomarkers for physiological and clinical