13 machining-"https:" "https:" "https:" "https:" "https:" Postdoctoral positions at University of Minnesota
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writing and speaking ability, strong mathematical background, computer programming experience. About the Department Neuroscience is the scientific study of the nervous system. It is an interdisciplinary
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. The successful candidate will use different computer programs and statistical tests to analyze the immune response in animals. Analysis of flow cytometry results will be done using FlowJo or Cyflogic programs and
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background in Human Computer Interaction, applied AI, and HCI systems development. Preferred qualifications ● Prior publications in top-tier peer-reviewed areas directly and indirectly related to HCI, social
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statistical and machine learning, deep learning, chemometrics, multimodal data fusion, computer vision, uncertainty-aware modeling, stochastic control, optimization, and deployable edge-to-cloud decision
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variety of communities, backgrounds, and identities, - commitment to equity, diversity, and inclusion as well as accepting and embracing neurodiversity - Skillful with computer software and statistical
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per year. The position is supported by the National Science Foundation (NSF) and the University of Minnesota and will provide opportunities for collaboration with mathematicians and computer scientists
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other duties as assigned. Specific Duties: Perform independent research projects according to established protocols and following direction of PI to include: MAb production, cell culture, CAR Treg
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-Doctoral Associate (9546 Post-Doctoral Associate) position. For more info on the division, visit http://www.sph.umn.edu/academics/divisions/biostatistics/. The successful candidate will work with Dr. Thierry
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, Cancer Biology, or a related field. Preferred Qualifications: • Strong background in cancer biology and immunology, with expertise in cellular immunotherapy techniques (e.g., CAR-T cell therapy, TCR
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transfer (CHT) or fluidic manifold optimization Experience with machine learning/AI (PyTorch or TensorFlow), reduced-order modeling (ROM), or data assimilation (DA) Experience with GPU programming (CUDA and