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), consists of two main parts. First, the candidate will develop machine learning models aimed at improving the follow-up of neurocognitive function in critically ill children after discharge from the intensive
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of the professors of the Machine Learning group mentioned above, that is, Prof. Jesse Davis, Prof. Luc De Raedt, Prof. Tias Guns, Prof. Giuseppe Marra or Prof. Hendrik Blockeel. You will be part of a dynamic team
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Computational Biology PhD candidate to join our interdisciplinary team, focusing on how developing animal systems self-organize and acquire shapes. In our lab, we work with detailed registrations of embryos over
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biomass remote sensing, crop modeling, data assimilation and machine learning Supervise master thesis students For PhD students: follow training in line with the doctoral school requirements Where to apply
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combine EMI footprints, which capture normal variations through characteristic curves and statistical distributions, with state-of-the-art machine learning and deep learning techniques (e.g., one-class
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2025 - 00:00 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 38 hours/week Offer Starting Date 1 Sep 2025 Is the job funded through the EU Research Framework Programme? Not funded by
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- 00:00 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 38 hours/week Offer Starting Date 1 Oct 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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- 00:00 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 38 hours/week Offer Starting Date 26 Sep 2025 Is the job funded through the EU Research Framework Programme? Not funded by a
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2025 - 00:00 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 38 hours/week Offer Starting Date 1 Aug 2025 Is the job funded through the EU Research Framework Programme? Not funded by
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Mar 2025 - 00:00 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 38 hours/week Offer Starting Date 1 Jun 2025 Is the job funded through the EU Research Framework Programme? Not