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Python or C/C++. The candidate should have an interest in developing novel bivariate methods in machine learning for molecular property prediction within an interdisciplinary application. Ideally
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works together to provide cohesive digital experiences and seamless support to the U-M community. For more information about ITS, visit: https://its.umich.edu/about Job Summary Information and Technology
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and knowledge and early-career authorship. Responsibilities Programs in Stata, Python, R, or Matlab to analyze data using econometric tools. Collaborates with research team to develop economic models
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Code 8353NG Employee Class Civil Service Add to My Favorite Jobs Email this Job About the Job The University of Minnesota’s Center for Magnetic Resonance Research (CMRR) (http://www.cmrr.umn.edu/) has
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the Python programming language is an absolute requirement Experience with global vegetation models, satellite products (L3 or L4), and/or machine learning applied to spatially explicit data would be an asset
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Python is a plus. You hold a FELASA certificate (animal research) or are willing to obtain one in the first year of your contract. You are punctual and accurate with strong analytical and problem-solving
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Studies on Air Pollution and Health group (https://www.hsph.harvard.edu/nsaph/). The position will be under the supervision of Principal Research Scientist, Dr. Danielle Braun, in Biostatistics. Job
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control. High proficiency in programming (C, C++, Python, MQTT, Matlab, among others) and dominance with industrial communication protocols such as ModbusTCP, OPC-UA, among others. Knowledge in digital
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software such as OpenSees and SAP2000 is preferred. Programming skills in MATLAB or Python are desirable. All applicants must have valid GRE scores and satisfactory GPA. International applicants must provide
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Python programming and relevant libraries (e.g., OpenCV, NumPy, scikit-learn, Pandas, Matplotlib) Experience with dataset preparation, model training, and performance evaluation Candidates with strong