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for an enthusiastic and motivated PhD-student to work on an interdisciplinary research project, which combines computer science and medical neuroscience to study the topic of social cognition. Understanding
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For more than 50 years, the Vrije Universiteit Brussel has stood for freedom, equality and solidarity, and this is very much alive on our campuses among students and staff alike. At the VUB, you will find a diverse collection of personalities: innovators pur sang, but above all people who are...
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implementation (Month 22–24), · Hitachi Energy: Benchmarking of magnetic components (Month 30–32), · Danfoss: Experimental model verification (Month 34–35). IMPORTANT: Strong knowledge in
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correlations, characterizing disease progression, and exploring early disease changes. This knowledge is crucial to improve prognosis, patient care guidance and support the development of future gene-based
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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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knowledge of wireless communications, and signal processing. You have at least intermediary knowledge of machine learning algorithms, including federated learning, split learning, and graph neural networks
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preferred. Good knowledge of English is essential. Candidates should be flexible to work at both host institutions, located ca. 50 km apart with a direct train connection in-between. This position is funded
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Qualification: The candidate should possess an MSc degree or equivalent in Telecommunications and Computer Science. Experience: The ideal candidate should have some knowledge and/or experience in several
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dimensionality reduction as well as analysis of blood proteomic data. We are looking for a student with experience in bioinformatics and relevant statistical methods using R or Python languages. Some knowledge of
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. Strong knowledge of quantitative and/or computational research methods, ideally in econometric analysis or optimization and simulation models. Preferable knowledge in Python and STATA. A collaborative team