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scholarship aims to provide students with multi-disciplinary training in conducting research at the interface of biomedical imaging, computational and experimental neuroscience including the use of rodents
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bioinformatics, to join our team in Leuven. A successful candidate: Has a master’s degree in Bioinformatics and affinity with Computer Science, Bio-engineering and Life Sciences Has a PhD and experience with
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academic backgrounds to contribute to our projects in areas such as: Trustworthy AI, secure and reliable systems, cloud computing, cryptography, network security, information assurance, satellite systems
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As announced in last Monday's September statement, significant cuts are being made to the Flemish budget. This also has an impact on the resources made available by the Government of Flanders for the financing of the Special Research Funds. The precautionary principle requires universities,...
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. You will carry out a limited number of teaching and research support tasks for courses related to cyber-physical systems and applied image/data processing. Profile You hold a Master degree in Computer
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; further training and skill development will take place during the PhD: Experience in computational data analysis and quantitative modelling (e.g. in R). Experience in one or more of the following laboratory
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an excellent reputation in technology transfer. The VIB Technologies program constitutes the centralized scientific research infrastructure of the institute and allows scientists access to high-end and
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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Company description The Roeffaers Lab at KU Leuven develops cutting-edge microscopy techniques to address key challenges in environmental science, catalysis, and biomedical research. Our team specializes in fluorescence and Raman-based approaches, integrating advanced microscopic analysis to...
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microscopy image interpretation), biological and medical sciences (neuroscience and brain microstructure), and computer science (machine learning and artificial intelligence) to achieve a breakthrough in