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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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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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in sensing, quantum technologies, and photonic design to define system concepts and specifications. Support the development of PIC layouts. Documentation and Knowledge Sharing: Prepare technical
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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
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of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we
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to the state-of-the-art (min 500 words including 10 references) Elaborate on the scientific motivation for your doctoral research based on scientific knowledge gaps, and the issues that you want to solve with