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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | about 2 months ago
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or Graduate degree in Computer Science, or a related technical field. Experience: 6+ years of dedicated IT Performance Engineering/Testing experience. Technical Stack: Languages: Proficiency in Java, Python
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on advanced modelling Knowledge and experience with the any of the following software: Matlab Python, other Preferred (not all): Knowledge and/or interest on vulnerability identification Experience in
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, machine learning and computer vision techniques, statistical data analysis, and Python programming. Activities will include field calibration and validation of models and data integration into a decision
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literacy with excellent skills in Microsoft Office applications and databases, in particular in Microsoft Excel. Preferably, strong analytical skills and familiarity with data analysis tools (e.g. R, Python
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international, and the successful candidate will work closely with researchers and students in the group, including postdoctoral researchers, PhD students, and technical staff. Research group website: https
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
of cancer research on the Mission Bay campus at UCSF! Research in the Oldham lab (https://oldhamlab.ucsf.edu ) focuses on understanding the cellular and molecular organization of the developing and adult
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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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collaboration with AI experts. Your Profile PhD or equivalent experience in Bioinformatics, Computational Biology, Computer Science, or related fields. Strong programming skills in Python and/or R. Experience