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Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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Stage Researcher (R1) Application Deadline 7 Oct 2026 - 21:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded
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Uppsala University, Disciplinary Domain of Science and Technology, Faculty of Mathematics and Computer Science, Department of Information Technology Are you interested in working with probabilistic
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(Chapter 7, Section 39 in the Higher Education Ordinance (1993:100)). Desirable qualifications Master’s degree in mechanical engineering or equivalent subject. Good knowledge of computer-aided engineering
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application! Work assignments Research focus: implementation of an evidence-based digital support programme delivered through 1177 for informal caregivers of people with heart failure, combined with user
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of algorithms, machine learning, optimization, scientific software development and high-performance computing. The division is also an important part of the eSSENCE strategic collaboration on e-science and of
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well as supervising master’s student projects within the master’s program in Energy Engineering. Qualifications You are qualified to apply for this position if you have an MSc or equivalent degree in Environment and
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PhD position in Experimental Physics with focus on photonics and materials science (applied aspects)
research in condensed matter physics, nanotechnology, photonics, ultrafast spectroscopy, and theoretical and computational physics. We announce a PhD position within the Marie Skłodowska-Curie Doctoral
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research in condensed matter physics, nanotechnology, photonics, ultrafast spectroscopy, and theoretical and computational physics. We announce a PhD position within the Marie Skłodowska-Curie Doctoral
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interpretable models that connect molecular patterns across multiple scales of human biology. The project lies at the interface of artificial intelligence, computational biology, systems medicine, and precision