338 computer-science-intern "https:" "https:" "https:" "https:" "U.S" research jobs in Sweden
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. Qualification requirements Applicants must have: A PhD or equivalent research qualification within Physics, Computing Science, or equivalent. Very good oral and written proficiency in English. Experience in X-ray
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leave of absence. Record of collaboration with the society of which Luleå University of Technology is part of, as well as national and international experience and mobility are highly rated. You should have gained
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13 Feb 2026 Job Information Organisation/Company Luleå University of Technology Research Field Engineering Researcher Profile First Stage Researcher (R1) Application Deadline 6 Mar 2026 - 12:00 (UTC
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: Temporary employment Period of employment/Start date: As agreed Scope: Full time Number of positions: 1 Closing date for application: 31 March 2026 Campus location: Eskilstuna Department: Engineering Sciences
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Postdoctoral Position and Postdoctoral Fellowship (2yrs) in Intracellular Host-Pathogen Interactions
trachomatis and either host cell-autonomous immunity or advanced culture models. ENVIRONMENT The postdocs will join the group of Dr. Barbara Sixt (Sixt Lab ), a highly international research team that is
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) 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 programme Is the Job related to staff position within a
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statistics and machine-learning–assisted approaches, in close interaction with data science collaborators Active collaboration across disciplines spanning spectroscopy, soft matter and nanomaterials
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that you will help us to build the sustainable companies and societies of the future. The Robotics and Artificial Intelligence subject (RAI) (www.ltu.se/robotics ) at the Department of Computer Science
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that you will help us to build the sustainable companies and societies of the future. The Robotics and Artificial Intelligence subject (RAI) (www.ltu.se/robotics ) at the Department of Computer Science
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computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration