83 computer-science-programming-languages-"the"-"U"-"UCL"-"IMPRS-ML"-"Prof" positions in Switzerland
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) Country Switzerland Application Deadline 10 Dec 2025 - 22:59 (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
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Switzerland Application Deadline 4 Mar 2026 - 22:59 (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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31 Oct 2025 Job Information Organisation/Company University of Basel Research Field Computer science » Programming Computer science » Other Economics » Business economics Economics » Marketing
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using emerging non-invasive exhalomics (exhaled breath metabolomics) approach. The research program integrates animal experiments with advanced analytical techniques and bioinformatics to enhance
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through the EU Research Framework Programme? Horizon Europe - MSCA Is the Job related to staff position within a Research Infrastructure? No Offer Description This doctoral position is offered by the Wood
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, ACHIEVE consortium The primary focus of this role is to serve as the Knowledge and Technology Transfer (KTT) Expert within the ACHIEVE consortium as part of the SWEET funding programme of the Swiss Federal
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Deadline 6 Feb 2026 - 22:59 (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
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2026 - 22:59 (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 EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Swiss Federal Institute for Forest, Snow
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to support a circular bioeconomy. We are seeking a highly motivated postdoctoral researcher to develop and apply machine‑learning and data‑science methods, with a focus on computer vision, to enhance wood