283 computer-science-intern "https:" "https:" "https:" "https:" "The University of Manchester" Postdoctoral research jobs in Sweden
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(together with a dedicated group of international collaborators) have set up a globally distributed experiment on mountains around the world (i.e., the WaRM experiment: https://onlinelibrary.wiley.com/doi
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sciences at a high international level. The university has 3100 employees and 10,000 students, and offers education in engineering, science, shipping and architecture. With scientific excellence as a basis
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27 Jan 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Physics » Other Technology » Nanotechnology Researcher Profile Recognised Researcher (R2
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17 Jan 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Programming Computer science » Other Engineering » Other Physics » Acoustics
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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