59 programming "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" positions at Umeå University in Sweden
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program at Umeå University is based at both the Department of Molecular Biology and the Department of Chemistry. We now have two open amanuensis positions at 10% of full time, one will be positioned
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educational programs, we are now seeking a postdoctoral researcher to work on privacy for data-driven models and high-dimensional data. The position is full-time for two years, starting on 12th January 2026
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the employer and research environment · Sixt Lab: http://www.sixtlab.org/ · Umeå University: http://www.umu.se/en/ · Department of Molecular Biology: https://www.umu.se/en
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educational programs in Computer Science, we are now seeking 1-2 PhD Students with a focus on Cryptography and Cybersecurity. The Department of Computing Science at Umeå University is an international
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PhD position in Experimental Physics with focus on photonics and materials science (applied aspects)
education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Physics at Umeå University (https://www.umu.se/en/department-of-physics/ ) conducts strong
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Physics at Umeå University (https://www.umu.se/en/department-of-physics/ ) conducts strong
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Star Programme, a new excellence initiative designed to strengthen research quality and international competitiveness here: https://www.umu.se/en/northern-star/ . The Faculty of Arts and Humanities
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Position Description Umeå University's interdisciplinary research hub, IceLab (Integrated Science Lab, https://www.umu.se/en/icelab/ ), has been awarded a grant by the Swedish Research Council
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addition to your regular research context. Expected starting date is by agreement but no later than January 2027. Find more information about the Career Programme here: https://www.umu.se/en/umea-school
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of experimental spectroscopy or diffraction techniques such as XAS, XRD, FTIR, and XPS, of molecular modeling (MD/MC, DFT), and familiarity with basic programming (Python, MATLAB) and the use of Linux/HPC systems