48 computational-physics-"https:"-"https:"-"https:"-"https:"-"NORTHUMBRIA-UNIVERSITY" scholarships in Sweden
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=sv The employment When taking up the post, you will be admitted to the program for doctoral studies. More information about the doctoral studies at each faculty is available at https://liu.se/en
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, or applied physics and electrical engineering, with at least 240 ECTS credits, of which at least 60 are cycle 2, with a specialization in computer vision or equivalent. Alternatively, you have acquired
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Job related to staff position within a Research Infrastructure? No Offer Description The Department of Physics at Umeå University (https://www.umu.se/en/department-of-physics/ ) conducts strong research
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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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physics, electrical engineering, image processing, computer vision, AI, machine learning, data science, computer science, applied mathematics, or in a similar field, or have completed at least 240 credits
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educational programs in Computing Science, we are now seeking a PhD student with focus on Software Lifecycle Security. The Department of Computing Science has been growing rapidly in recent years, with a focus
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Stage Researcher (R1) Application Deadline 30 Apr 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
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physical geography, for research on the role of perennial snowfields in the water cycle in northern Sweden, with special focus on evapotranspiration. The start date is fairly flexible but ideally sometime
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, Section 39) Specific entry requirements In order to fulfil the specific entry requirements for admission to doctoral studies in physical geography, the applicant must have passed courses in a basic higher
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the Arctic, experimental tests of climate driven changes in carbon export from land and turnover and release of greenhouse gases (CO2 and CH4 ) from headwaters, and use of machine learning and process-based