67 computer-science-intern "https:" "https:" "https:" "https:" "UCL" "UCL" Postdoctoral research jobs at University of Minnesota
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collaborates with other fields such as chemistry, computer science, engineering, linguistics, mathematics, medicine and allied disciplines, philosophy, physics, and psychology. The Department of Neuroscience is
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and the Applied Plant Sciences graduate program. Pay and Benefits Pay Range: $63,000-$67,000 ; depending on education/qualifications/experience Please visit the Benefits for Postdoctoral Candidates
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. Analyze complex imaging data using quantitative and computational approaches. Collaborate with a multidisciplinary team of neuroscientists, optical engineers, and data scientists. Present research findings
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conferences and professional development opportunities 5% document and publish data and code Qualifications Required Qualifications: · PhD in hydrology, soil science, environmental engineering, or
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, computer science, engineering, linguistics, mathematics, medicine and allied disciplines, philosophy, physics, and psychology. The Department of Neuroscience is committed to providing excellence in research
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program Financial counseling services Employee Assistance Program with eight sessions of counseling at no cost How To Apply Applications must be submitted online. To be considered for this position, please
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of Science & Engineering. More information about the department can be found at https://cse.umn.edu/cege Pay and Benefits Fixed Pay Rate: $61,008 Please visit the Benefits for Postdoctoral Candidates website
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project on the bacterial phosphate uptake system. Protein biochemistry, enzymology, protein design, computational biology and structural biology will be key to these experiments. Translating some of these
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://www.virology.umn.edu A robust career development program will be individually crafted for each postdoctoral researcher, which will emphasize not only research excellence, but also acquiring excellence in other skill
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researcher to join our multi-disciplinary team. The ideal candidate will have a strong background in the physical sciences and experience with the biophysical characterization of proteins and protein complexes