81 computer-science-programming-languages-"O"-"O" Postdoctoral positions at University of Minnesota
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domains. Qualifications Required Qualifications: A recent PhD in a mathematical or scientific field (e.g., physics, computer science, statistics, applied mathematics, or a related quantitative discipline
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and mentorship experience • Strong written and oral communication skills • Significant research experience with yeast genetics and cell biology. Preferred Qualifications: • Experience with
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, Statistics, Computer Science or a related field who possesses strong interest in genetics/biomedical applications, and strong computing/programming and communication skills. Essential qualifications include
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in R, MATLAB, Python and/or other programming languages. Experience in AI and machine learning techniques applies to physiological, neural, and imaging data. Preferred qualifications Experience with
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Enhancement Program; The Center for Community Engaged Rural Dementia and Alzheimer’s Research; and A wealth of other opportunities are afforded by the University’s Clinical and Translational Science Institute
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University HSA contributions Disability and life insurance Employee wellbeing program Financial counseling services Employee Assistance Program with eight sessions of counseling at no cost How To Apply
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nationally. Currently, the department has 46 core faculty, 70+ staff, 140 graduate students, and it supports the largest number of undergraduate majors of any academic program on the UMN Twin Cities campus
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of undergraduate majors of any academic program on the UMN Twin Cities campus. Additionally, the department has $40 million or more in active research funding at any given time (the majority from NIH), spread across
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environmental engineering, environmental microbiology and related fields - Experience with laboratory-scale bioreactor design and operation - Excellent communication skills in English Preferred: - Research
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informatics, and human sexuality— and offer continuing medical education opportunities. We are regularly among the top National Institutes of Health-funded family medicine departments. Our faculty are actively