9 machine-learning-"https:"-"https:"-"https:"-"FIIB-HUIS-HUHEN" PhD positions at Vrije Universiteit Brussel in Belgium
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–liquid interfaces through an integrated approach combining atomistic (DFT, AIMD, MD), and continuum (FEM) Modelling, supported by machine learning frameworks. Key responsibilities: • Perform DFT/AIMD
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. More concretely your work package, for the preparation of a doctorate, contains: Shape the future of immersive visual technologies through optical, computational, and machine‑learning innovation. We
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approach, combining machine-learning–enhanced text-as-data analysis with qualitative discourse analysis. The project aims to produce a set of high-quality scholarly outputs, including peer-reviewed journal
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fully funded PhD position in machine learning, AI, and data science for public health within the Electronics & Informatics Department (ETRO) of Vrije Universiteit Brussel (VUB). The PhD is embedded in
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doctorate, contains: Reinforcement Learning for Public Health Decision Support in Emerging Arbovirus Prevention The Artificial Intelligence Lab in the Department of Computer Science at Vrije Universiteit
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machine learning processing of the spectroscopic data • The optical design and development of novel custom spectroscopic sensors benefitting from freeform optics. • Integration of the in-situ
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-spectral microscopy framework that extracts meaningful spectral information from a single image, by combining innovative optical system design with learning-based data processing. The research aims
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participate in international conferences and learn how to publish your research findings and communicate them to a broader audience in order to maximise their societal and economic impact. Within the Mobilise
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fairness and inclusion, racialized students often face barriers that harm their learning and well-being. Research has revealed many causes of these inequalities, such as socio-economic disadvantages