279 computer-science-intern "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" Postdoctoral positions in Sweden
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of Ecology, part of the Ecology Center of the Swedish University of Agricultural Sciences (SLU), in Uppsala, Sweden. The postdoc will join a dynamic, international and interdisciplinary research environment
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strategies such as molecular glues and targeted protein degradation. Our research integrates molecular and cell biology, biochemistry, genetics, and computational approaches to identify and exploit cancer
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28 Feb 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Other Engineering » Control engineering Engineering » Systems engineering
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: Västerås School: Department of Computer Science & Engineering Position description The purpose of the position is to give the employee an early opportunity to develop his or her independence as a researcher
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: 2026-03-04 Last application date: 2026-03-17 Where to apply Website https://academicpositions.com/ad/kth-royal-institute-of-technology/2026/post-do… Requirements Research FieldEngineeringYears
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your application: A doctoral degree in automatic control, electrical engineering, computational materials science or related. Research experience in battery tests, machine learning, data-driven
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and education in technology and natural sciences at a high international level. The university has 3100 employees and 10,000 students, and offers education in engineering, science, shipping and
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in the research group for AI and society led by Stefan Larsson at LTH in Lund. The group focuses on social science-oriented but multidisciplinary issues linked to AI. The group collaborates e.g. over
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20 Feb 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Chemistry » Analytical chemistry Chemistry » Biochemistry Chemistry » Computational chemistry
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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