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application of cutting-edge causal machine learning methods You will further elaborate and concretise the PhD theme and research tasks at the start of the PhD in consultation with the supervisor and any co
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, contains: You mainly conduct research with to obtain a PhD. Subject: Enhancing decision-making through the development and application of cutting-edge causal machine learning methods You will further
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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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, eager to learn more about Flanders, Belgium and the Netherlands. Learning Dutch University Language Centre (@ Ghent University) In-Gent https://www.in-gent.be/voor-jou/nederlands Stad Gent Read more
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and researchers, eager to learn more about Flanders, Belgium and the Netherlands. Learning Dutch University Language Centre (@ Ghent University) In-Gent https://www.in-gent.be/voor-jou/nederlands Stad
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background in machine learning, including Natural Language Processing. You have excellent coding skills in Python; hands-on experience in deep learning frameworks such as PyTorch or Tensorflow is a plus You
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, criterion handling and machine learning. Topic The main research objective is to contribute to the development of responsible AI, with a strong focus on trust and confidence handling when dealing with data
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University, KU Leuven and coordinated by Hasselt University (Prof. J. Hendriks). The PhD student will be engaged in setting up iPSC-derived human neural (brain) organoid model recapitulating neural-microglia
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3 fully funded PhD Positions in Literary Studies on ERC Project 'AFROPRESS' Position description The Faculty of Arts and Philosophy, Department of Linguistics and Literary Studies, is looking for 3
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postdoctoral scholarships to Chinese researchers. We welcome all Chinese students who visit our University in order to do a PhD, a jointly-supervised PhD (including double PhD degree), Post-doctoral research, as