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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
attention to detail and quality; strong computer skills, including Microsoft Office suite (Outlook, Word, Excel, and PowerPoint); Internet proficiency; and knowledge of or ability to learn human resource
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About the Position We are recruiting a Postdoctoral Research Associate to join Tom Hartvigsen’s research group in UVA’s School of Data Science. The postdoc will work on developing machine learning
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at the top venues of machine learning research. Responsibilities and qualifications You should have prior experience with machine learning from both a theoretical and practical perspective. Experience in one
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life-long learning. To foster the talents and aspirations of our staff, Stanford offers career development programs, competitive pay that reflects market trends, and benefits that increase financial
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supports DEI/JEDI initiatives to create a culture of belonging https://careersearch.stanford.edu/diversity . Your primary responsibilities include*: Work with the faculty, postdocs, and department
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FieldBiological sciencesEducation LevelPhD or equivalent Specific Requirements PhD in Physics, Computational Biology, Bioinformatics, or equivalent. Knowledge of biophysics, statistical physics, machine learning
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) COFUND scheme. Around 15 postdocs will be recruited in the fifth call 2026, with each fellowship lasting 36 months. AMBER has six core partners: Lund University/MAX IV, Sweden, the European Spallation
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
dynamics, quantum mechanical simulations, and machine learning. Proficiency in programming languages and computational software’s. Strong motivation and passion for research in the field of sustainable
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scientific curiosity Mastery of data visualization and scientific communication Extensive knowledge of relevant machine learning and AI techniques Self-motivated individual with ability to work independently
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. This position seeks an experienced and recognized energy expert who can strategize and grow demand forecasting research at NLR. This is a recent example of one of the tools NLR has developed: https://tinyurl.com