456 machine-learning "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" positions in Belgium
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have strong programming skills in Python; You have knowledge of medical image processing, and machine learning and deep learning techniques; Written and spoken proficiency in (scientific) English is
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close collaboration with industry. The know-how of DistriNet formed the basis of multiple spin-off companies (https://distrinet.cs.kuleuven.be/spinoffs/ ). The dominant expertise of DistriNet focuses
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, proteomics, microscopy, structural biology, technology development, and bioinformatics at VIB-UAntwerp Center for Molecular Neurology (https://cmn.sites.vib.be/ ), at VIB (https://vib.be/ ), and at UBirmingham
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. Position You will work actively on the preparation and defence of a PhD thesis focusing on machine learning-based forecasting of renewable energy production, with a particular focus on wind energy. The
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the domain of Professional Training & Development & Lifelong Learning at O2L, we are looking for a PhD candidate with an interest in adult education and lifelong learning. Specifically, you will contribute
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opportunity to investigate a broad range of research areas and design an individual research portfolio. As such, successful candidates will be able to align the skills that they learn by pursuing a doctorate
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for the future of mobile and satellite communications. Fields of applications range from 5G/6G telecommunications to satellite-based internet connectivity. For details, you may refer to the following: https
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members undertake research in various fields of expertise. Selection process The application form can be downloaded from the University of Namur website (https://www.unamur.be/en/university/work/forms
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? Please read the FAQ or contact us via selecties@ugent.be . Where to apply Website https://academicpositions.com/ad/ghent-university/2026/postdoctoral-scientific-… Requirements Research FieldComputer
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send your application by email, but apply online. Do you have a question regarding the online application process? Please read the FAQ or contact us via selecties@ugent.be . Where to apply Website https