110 Computer-Science "https:" "https:" "https:" "https:" "https:" research jobs at University of Minnesota
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, spatial and hydrologic modeling, statistical analysis, high-impact technical publishing, and collaborative proposal development. In support of NRRI’s mission to deliver applied science and sustainable
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vitro lab experimentations. Experience with mice handling and assays involving mice infection. About the Department The Department of Microbiology and Immunology (DMI) is a basic science department in
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to work independently after training and collaboratively within a multidisciplinary research team. - Basic computer proficiency, including Microsoft Office applications. Preferred - Previous experience in a
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Previous Job Job Title Post-Doctoral Associate in the Department of Chemistry Next Job Apply for Job Job ID 375373 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Post-doctoral Associate positions will become available in the Department of Electrical and Computer Engineering at
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and Materials Science at the University of Minnesota- Twin Cities during the current fiscal year to conduct grant supposed research in all areas of Chemical Engineering and Materials Science. Start date
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. Preferred Qualifications: A PhD in oral biology, microbiology, or related field. Experience in prokaryotic genetics and molecular biology. Experience in computational analysis. About the Department
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the laboratory include the study of growth factor signaling in regulating growth and metastasis of breast cancer, to study the effect of signaling inhibitors and on biology and metastasis of breast cancer
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. Protein biochemistry, enzymology, microbiology, ecology, and computational biology will be key to these experiments. Translating some of these findings to physiology via -omics methods and microbiology will
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combine experimental physiology with computational biology and bioinformatics approaches to analyze multi-dimensional biological datasets and generate new mechanistic insights. This position is expected