883 computer-security "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" positions in Sweden
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ecosystem ecology to work 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
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research, including e.g. plant-based meat analogues, carbon capture and formulation and purification of biopharmaceuticals. The Membrane group (https://www.membranegroup.lu.se/) at PLE is the most
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Scientist to improve the data analysis experience within the MAX IV computing environments. The successful candidate will contribute to developing and supporting the overall software ecosystem for data
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Researcher (R2) Application Deadline 26 Mar 2026 - 22:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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for the employment of teachers and the appointment of associate professors at Blekinge Institute of Technology,” under the section "Instructions to applicants" available at https://www.bth.se/english/about-bth/work
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an internationally unique infrastructure and research community, bringing together groundbreaking life science technologies with data and AI expertise. Computational methods and artificial intelligence applied
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statistics, with links to computer science. The environment consists of approximately 35 researchers. Research includes, for example, the areas of labour markets, wellbeing and welfare, macro-financing
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NAISS, the National Academic Infrastructure for Supercomputing in Sweden, provides academic users with high-performance computing resources, storage capacity, and data services. NAISS is hosted by
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). Link to log in and apply https://kth.varbi.com/se/what:job/jobID:880654/ About the employment The position offered is for, at the most, two years. A position as a postdoctoral fellow is a time-limited
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Information Science (GIS), and computational science for health and environment, to study processes spanning from the microscopic to the planetary, across all time scales. The Inverse Modelling group at the Department