88 proof-checking-postdoc-computer-science-logic Postdoctoral positions at University of Minnesota in United States
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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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as Earth and atmospheric sciences, environmental science, hydrology, ecology, computer science, math, statistics, or related fields. Strong programming experience (e.g., Python, Fortran, or C++) and
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Outcomes, Bioinformatics, Epidemiology, Molecular Cellular Biology and Genetics to investigate mechanisms of kidney disease, allograft complications, Indigenous health and precision medicine. Our team is
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candidate is expected to have access to a reliable internet connection for duties undertaken remotely. Qualifications Required Qualifications: A PhD degree in Biostatistics, Statistics, Computer Science or a
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to the preparation of manuscripts. Qualifications Required Qualifications: Ph.D. in Bioinformatics or Computational Biology Preferred Qualifications: Experience in preclinical studies, animal handling, molecular
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on the Biology of Aging and Metabolism. His research program is focused on discovering fundamental mechanisms of aging. His laboratory employs novel animal models, primary human cells, and human tissues
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have a PhD in environmental engineering, earth or environmental engineering, or related fields, with a background in ecohydrology. Experience in ecohydrological modeling and remote sensing is desired
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students on data analysis and detector projects. 40% Instruction of introductory physics lecture section 25% Core reconstruction and simulation software and computing development 15% Construction
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of experience; equivalent to FY25 NRSA postdoc stipends. Qualifications Required Qualifications: Ph.D., MD, or equivalent. Training in a relevant field of study, such as Molecular Biology, Stem Cell Biology
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of Civil, Environmental, and Geo- Engineering. The person would take the lead on a project co-supervised by Profs. Behrens and Arnold to evaluate microbial degradation of fluorinated pesticides and