261 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" uni jobs in Sweden
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Project description Third-cycle subject: Solid Mechanics We are seeking a
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28 Feb 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Programming Computer science » Other Researcher Profile First Stage Researcher
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) Positions Other Positions Application Deadline 10 Mar 2026 - 23:55 (Europe/Vienna) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme
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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 Research Infrastructure? No Offer Description We
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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 Research Infrastructure? No
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the Nordics. We are currently strengthening the management of our industrial service delivery with this new position. Your main work tasks will be Plan and execute industrial beamtime at the CoSAXS beamline
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First Stage Researcher (R1) Application Deadline 16 Apr 2026 - 21:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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programs for both Swedish and international students. Read more at https://www.biology.lu.se/ . Find more reasons why Lund University and the Faculty of Science are right for you here and here , and learn
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. More information on English language requirements can be found at: https://www.slu.se/utbildning/program-kurser/forskarutbildning/att-bli-doktorand/ Please note that applicants invited to interview must
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program and have experience in applied artificial intelligence, data engineering, and programming. You should be interested in working across the entire machine learning pipeline. Since part of the work