146 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" PhD positions in Belgium
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environments Interest in industrial monitoring systems, smart sensors, and sustainable manufacturing Experience with sensor data processing or instrumentation systems Knowledge of machine learning or anomaly
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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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at academic conferences and you will publish them in scientific journals. Education You will provide support with teaching and also teach high-quality academic classes yourself in Mathematics. Your teaching
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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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and stimulating research environment. You will have the opportunity to learn new techniques and skills and to develop yourself as an independent scientist in a high‑performing laboratory. You will be
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opportunity to learn new techniques and skills and to develop yourself as an independent scientist in a high‑performing laboratory. You will be supervised intensively by Vincent Segers and Gilles De Keulenaer
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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
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that he/she can check approve your file . You will have to upload some documents Proof of enrolment as a PhD student at your home University A signed Learning Agreement. Please chose the correct template