195 computer-programmer-"https:"-"UCL" "https:" "https:" "U.S" PhD positions in Sweden
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Sweden Application Deadline 7 Jan 2026 - 12:00 (UTC) 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
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- 12:00 (UTC) 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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2026 - 12:00 (UTC) 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
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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 PhD student in
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the largest individual research program in Sweden. Please see https://wasp-sweden.org/ for further details. We are seeking up to two qualified candidates who can collaborate effectively as a team. We strive
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. The position will include supervision of MSc and to assist in grant applications from research funding agencies/councils, the EU framework program or the industry. The position might also involve teaching
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about the PhD programme is available at: https://www.soclaw.lu.se/sites/soclaw.lu.se/files/2021-06/ASP_rättssociologi_forskarutbildning_20201126.pdf Qualifications Requirements: A master’s degree in
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School for the Transformation of the Public Sector (https://www.mdu.se/research/graduate-schools/graduate-school-fofos ). FOFOS is coordinated by Mälardalen University and is part of SustainGov (https
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with the SciLifeLab and Wallenberg National Program for Data- Driven Life Science (DDLS; https://www.scilifelab.se/data-driven/ ), a 12-year initiative aimed at recruiting and training the next
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that support the unit for area protection and marine spatial planning, as well as operations at SLU Aqua. Your profile You have documented expertise in marine ecology and computer vision and machine learning