113 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" positions in Belgium
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(https://gevaertlab.sites.vib.be ), which focusses on cutting-edge proteomic technologies and is part of the VIB-UGent Center for Medical Biotechnology (https://cmb.sites.vib.be ). Through
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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 Research Infrastructure? No Offer Description Last application
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) Country Belgium Application Deadline 5 Jan 2026 - 23:59 (UTC) Type of Contract To be defined Job Status Full-time Offer Starting Date 1 Sep 2026 Is the job funded through the EU Research Framework Programme
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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 REMOD-HEALING is a Doctoral Network funded by
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their thesis research. The candidate will work closely with Prof. Olivares-Mendez and Dr. Carol Martinez, the members of the Space Robotics (SpaceR) research group (www.spacer.lu ) and Redwire Space Luxembourg
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2025 - 23:59 (UTC) Type of Contract To be defined Job Status Full-time Offer Starting Date 1 Sep 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference
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also http://www.emat.uantwerpen.be/ ) Find out more about working at the University of Antwerp here Want to apply? You can apply for this vacancy through the University of Antwerp’s online job
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explanations tailored to diverse user profiles. Programming skills in Python, JavaScript, or web frameworks (e.g., React, D3.js, Plotly) for building interactive explainability interfaces. Motivation
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background in AI/ML, preferably with hands-on experience in deep generative models (e.g., VAEs, GANs, diffusion models, transformers). Solid programming skills in Python, including familiarity with TensorFlow
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-scale screens to study fundamental principles in molecular and complex trait genetics using microbes as model systems. Our core technology MAGESTIC (https://doi.org/10.1038/nbt.4137 ), a CRISPR/Cas9-based