603 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" positions in Sweden
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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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social issues that require more knowledge. In order to both sustainably use and safeguard forest biodiversity, a coherent basic science research program is needed that addresses large and complex issues
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climate change are now key social issues that require more knowledge. In order to both sustainably use and safeguard forest biodiversity, a coherent basic science research program is needed that addresses
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:00 (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 position
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technologies. The OEM group is part of the Laboratory of Organic Electronics (LOE) (https://liu.se/LOE ), an internationally renowned research environment comprising more than 150 researchers from diverse
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Recognised Researcher (R2) Application Deadline 12 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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Deadline 3 Apr 2026 - 21:59 (UTC) Country Sweden Type of Contract Other 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
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Deadline 2 Apr 2026 - 21:59 (UTC) Country Sweden Type of Contract Other 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
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of Excellence. The Department of Historical, Philosophical and Religious Studies invites applications for the doctoral training programme in philosophy. The Department of Historical, Philosophical and
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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