916 computer-programmer-"https:"-"Inserm"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "CNRS" positions in Sweden
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Scientist to improve the data analysis experience within the MAX IV computing environments. The successful candidate will contribute to developing and supporting the overall software ecosystem for data
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; the ability to compete for external research funding; experience of the role of principal supervisor for third-cycle courses and study programmes. As a principal supervisor, the applicant should have supervised
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoctoral fellowship in
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) Application Deadline 12 Feb 2026 - 22:59 (UTC) 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
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conditions. More information about the department is available at: https://www.umu.se/en/department-of-computing-science/ The department's research on responsible and human-centred artificial intelligence
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clinical specialists at Skåne University Hospital. Work duties You will primarily devote yourself to your doctoral programme, which includes participation in research projects as well as third cycle courses
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Stage Researcher (R1) Application Deadline 2 Mar 2026 - 22:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Other EU
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First Stage Researcher (R1) Application Deadline 19 Feb 2026 - 22:59 (UTC) Country Sweden Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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integration into SasView. Required qualifications Ongoing university studies in physics, applied mathematics, computer science, engineering, or a related field Programming experience in Python Good
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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