325 computer-science-intern "https:" "https:" "https:" "https:" "U.S" research jobs in Sweden
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. The research environment is embedded in Linköping University and closely connected to SciLifeLab and the national DDLS program. https://liu.se/en/employee/bjofo78 https://www.nsc.liu.se/systems
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6 Mar 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Other Engineering » Other Technology » Energy technology Researcher Profile
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product realisation. We combine technology, design and user perspectives to create the products and solutions of the future. Our international and interdisciplinary environment offers close collaboration
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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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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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, Sweden, the European Spallation Source (ESS), Sweden, the European Molecular Biology Laboratory (EMBL), Institut Laue-Langevin (ILL), France, the International Institute of Molecular Mechanisms and
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6 Mar 2026 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Department of Immunology, Genetics and Pathology Research Field Medical sciences » Medicine
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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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: 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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your application: A doctoral degree in automatic control, electrical engineering, computational materials science or related. Research experience in battery tests, machine learning, data-driven