81 postdoc-computer-science-logic-"DIFFER" Postdoctoral positions at University of Minnesota
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to microfluids. The postdoc scholar will have the opportunity to learn different skills, and will work on a project related to the transport of bacteria in porous media and multiphase flow. 25% - Collaborate with
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Previous Job Job Title Post-Doctoral Associate - Department of Integrative Biology and Physiology Next Job Apply for Job Job ID 368521 Location Twin Cities Job Family Academic Full/Part Time Full
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. Qualifications Required Qualifications: A PhD degree in Biostatistics, Statistics, Computer Science or a related field who possesses strong interest in genetics/biomedical applications, and strong computing
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Regular/Temporary Regular Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Postdoc in urban stormwater pond dynamics We are seeking a postdoctoral
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Summary of Position: A postdoc position is immediately available to perform molecular biology and biochemistry research
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for Magnetic Resonance Research (CMRR), including ultra- high resolution 7T imaging. Our group is strongly committed to professional development and personalizing the postdoc experience. We encourage
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to improve your biocomputing skills through tutorial Qualifications Required Ph.D. in Computational biology, Bioinformatics, Plant breeding/genetics, or related field. Individual may be immediate post-degree
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internet connection for duties undertaken remotely. Qualifications Required Qualifications: A PhD degree in Biostatistics, Statistics, Computer Science or a related field who possess STRONG computing
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The Department of Bioproducts and Biosystems Engineering at University of Minnesota, Twin Cities, has an opening for a full
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to their research. Ideal candidates will be expected to employ state-of-the-art computational tools to analyze phylogenetic, metagenomic and multi-omics data sets generated from different clinical trials. Applicants