887 computer-programmer-"https:"-"UCL" "https:" "https:" "https:" "INESC ID" positions in Sweden
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to collaborate with others. A strong ability to communicate in English, both orally and in writing, is a requirement. The employment When taking up the post, you will be admitted to the program for doctoral
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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 Job related to staff
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close collaboration with teachers responsible for the SI-program at the department as well as with other SI-leaders within the program. Supplemental Instruction (SI) is an academic assistance program
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Ref no: ORU 2.1.1-01648/2026 Örebro University and the School of Science and Technology are looking for a doctoral student (PhD student) for the doctoral programme in Computer Science, concluding
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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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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in working in programming languages or automated program
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in working in programming languages
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Researcher (R1) Application Deadline 25 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? Not funded by a EU
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of electrochemical reaction kinetics. The position is funded by the Swedish Energy Agency’s research program “Sustainable Battery Value Chain ” and includes multidisciplinary collaborations where research visits
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group is part of the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS), which aims to recruit and train the next-generation of data-driven life scientists and to create