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) Country Belgium Application Deadline 28 Nov 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Is the Job
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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 → Apply before 23/12/2025 (DD/MM/YYYY) 23:59 (Brussels Time) → Faculty
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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 → Apply before 15/10/2025 (DD/MM/YYYY) 23:59 (Brussels Time) → Faculty
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integration, network biology and/or modelling of protein interactions, preferably with a focus on the development of computational methods and/or AI-based methods) Good programming skills and mathematical
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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 → Apply until 04/11/2025 (DD/MM/YYYY) 23:59 (Brussels time) → Faculty
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Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Jan 2026 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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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description → Apply until 04/11/2025 (DD/MM/YYYY) 23:59 (Brussels time
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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 → Apply until 16/09/2025 (DD/MM/YYYY) 23:59 (Brussels time
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advantage. You have (basic) bio-informatics skills or are willing to learn. Prior experience with FLIM (performing experiments, data analysis, e.g. with FLUTE, Flimfit, SPCImage, GSLab, or napari) and/or next
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. Applications will be accepted until the position is filled. Job profile The successful candidate will train recurrent neural networks to learn the generative structure of existing behavioral, EEG and MEG data