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Are you interested in developing machine learning algorithms that provably help us make better decisions? Join us as a post-doc in the Division of Data Science and AI, Department of Computer Science
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distributed WaRM experiment (for details see here: https://onlinelibrary.wiley.com/doi/10.1002/ece3.9396). The employment is fulltime for three years. The deadline for applications is March 26, 2026 and the
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seek a postdoctoral researcher to develop AI surrogates for molecular dynamics (MD), slashing computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science
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and their influence on materials. In a new project in cooperation with a consortium of ten different industrial companies, we are seeking a Post doc for a position at University West. The scientific
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on the long term globally distributed WaRM experiment (for details see here: https://onlinelibrary.wiley.com/doi/10.1002/ece3.9396 ). The employment is fulltime for three years. The deadline
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universitetCountrySwedenCityUmeåGeofield Contact City Umeå Website http://www.umu.se/english/about-umu/open-positions?languageId=1 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo
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development, networking, administrative and technical support functions, along with good employment conditions. More information about the department is available at: https://www.umu.se/en/department
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universitet stipendiemodulCountrySwedenCityUmeå Contact City Umeå Website https://www.umu.se STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo
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supervision, supporting courses and student projects within the subject area of environmental geochemistry and sustainable mining. Qualifications In order to be eligible for employment as post doctor you must
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of doctor is expected to be obtained, Verified copies of other diplomas, list of completed academic courses and grades, Copy or download links of doctoral thesis and up to three relevant articles, At least