971 computer-science-intern "https:" "https:" "https:" "https:" "The University of Edinburgh" positions in Sweden
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collaboration with international, national and regional companies, the public sector and leading universities. Luleå University of Technology has an annual turnover of just over SEK 2.3 billion. We have more
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, healthcare and natural sciences and have extensive collaborative networks with national and international academic, government and private sector partners. We have approximately 3 100 students, 80 doctoral
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Doctoral student in development of nanowire devices for photonic neuromorphic computing (PA2026/472)
at the Department of Physics, extensive research is conducted focusing on various aspects of nanophysics, ranging from materials science to bio- and quantum physics to various applications. NanoLund (www.nano.lu.se
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10 Apr 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Programming Computer science » Other Environmental science » Earth science
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collaboration with international, national and regional companies, the public sector and leading universities. Luleå University of Technology has an annual turnover of just over SEK 2.3 billion. We have more
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31 Jan 2026 Job Information Organisation/Company Lunds universitet Department Lund University Research Field Biological sciences » Biology Researcher Profile First Stage Researcher (R1) Application
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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. This PhD Project will work on the further
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to applied projects linked to societal needs. Key areas include computational mathematics, optimisation, biomathematics, statistics, and data science, supported by an active PhD programme. Our
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science, polymer engineering, physics, and chemistry. About us This position will be placed in the Division for Computational Mechanics and Materials Engineering , which belongs to the department
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of full-time. Your qualifications You have graduated at Master’s level in biomedical engineering, electrical engineering, machine learning, statistics, computer science, or a related area considered