37 computer-science-programming-languages-"Prof" Postdoctoral positions in United States
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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
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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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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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). - Scientific computing experience (e.g., Python, Julia, C, C++). Preferred Qualifications: - Experience with optimization modeling and mathematical programming languages (e.g., GAMS, Pyomo, JuMP). - Experience
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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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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job This is a postdoctoral position at the University of Minnesota Duluth, Minnesota Sea Grant College Program, supporting a USGS
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world-class network of partners, including the Minnesota Supercomputer Institute (MSI), the Institute for Health Informatics, and the College of Pharmacy. If you are passionate about translational
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 3 months ago
; strong physical, mathematical, and computational background; experience with programming in at least one general-purpose language (preferably Julia) and parallel computing; demonstrated effective written
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; strong physical, mathematical, and computational background; experience with programming in at least one general-purpose language (preferably Julia) and parallel computing; demonstrated effective written
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such as mathematics, statistics, physics, computer science, engineering, epidemiology, or related disciplines; Strong background and experience in mathematical and computational modeling of infectious