140 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" scholarships in Belgium
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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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of Applied Mathematics: Statistics Position You will work actively on the preparation of a PhD thesis in the field of statistics and machine learning. The envisioned topic is practical challenges of causal
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microkinetic modelling or/and machine learning, especially in the area of polymer design, is valued. Experience with modelling macromolecular structures or/and predicting polymer material properties is highly
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: *Extensions of the eligibility period are possible based on documented absence for parental leave, long-term illness, military service or clinical training. Check the ERC Work Programme on the ERC website
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(including pig) and tissue fluent user of computer software (e.g., Microsoft 365, SPSS/Prism, EndNote,…) flexibility to learn new skills and develop novel approaches for analysis ability to work independently
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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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any time change or withdraw your consent from the Cookie Declaration on our website. Learn more about who we are, how you can contact us and how we process personal data in our Privacy Policy. Please
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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