122 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" PhD scholarships in Belgium
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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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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
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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
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or are willing to learn Dutch quickly. In your application, you demonstrate that you are capable of doing so. You are strong in planning and organizing and can work independently. Your teaching competences are in
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attention to quality, integrity, creativity and cooperation. You have a strong background in signal processing, with emphasis on acoustics, array processing, or time–frequency analysis. You are eager to learn
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immunology (e.g. in vivo models, flow cytometry, imaging) Motivation to learn and apply computational biology/bioinformatics approaches (training will be provided). Some background in programming is therefore