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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
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exchange application has been approved, you will automatically receive an official invitation letter from Ghent University. You need this letter for your student visa application together with a letter of
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are an absolute requirement. In addition, an excellent command of English; very good Spanish, Dutch and ideally also French language skills will be necessary to be able to read your sources. Basic skills in IT and
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, and include semi-automatic bias detection and mitigation. Develop an application for FMs-based enhanced FOG severity assessment in the clinic and everyday life; test and validate the FMs-based
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command of English; very good Spanish, Dutch (or German) and ideally also French language skills will be necessary to be able to read your sources. Basic skills in IT and GIS technology are highly
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explores how artificial intelligence can make industrial control systems safer and more efficient. It focuses on combining the reliability of classical control methods with the adaptability of RL. The goal
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of the hallucination detection system under diverse visual and textual conditions Primary experiments will be conducted in CARLA (https://carla.org), enabling controlled and repeatable evaluation of hallucinations under
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hydrogel systems with precisely tunable mechanical properties and bioactive molecules to serve as artificial extracellular matrices (ECMs). Developing Controlled Environments: Establish protocols to generate
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methods interest in interdisciplinary research excellent skills in English (command over Dutch or German is an additional asset) a talent for combining personal initiative and team spirit strong motivation
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for these positions as well (e.g., holding degrees that combine philosophy with other disciplines such as from the natural or social sciences). Excellent command of written and spoken English (demonstrated by a degree