12 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "NORTHUMBRIA UNIVERSITY" PhD positions at Vrije Universiteit Brussel in Belgium
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research group. RDI, a member of IMEC. ETRO. RDI (http://www.etrovub.be/ ) of the Vrije Universiteit Brussel (VUB), conducts fundamental and applied research in the field of Micro- and Optoelectronics
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training (ST) can counter inflammation and improve immune function in older persons with different levels of systemic inflammation. In this new FWO-funded project (https://researchportal.vub.be/en/projects
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” funded by the HELIOS foundation. As a researcher of this chair you will be an active member of a team of junior and senior researchers which will provide a unique opportunity to engage with and learn from
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. More information can be found on our website: https://www.b-phot.org . The candidate will be supervised by Prof. Francis Berghmans, and co-supervised by Dr. Sidney Goossens and Dr. Sergei Mikhailov
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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