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on experimental data which you acquire. You publish the research results in scientific journals and present at international conferences You contribute to the supervision of master and PhD students At least 70% of
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students working on the early modern and modern Arabic corpus within the project You will be expected to design and teach academic courses on Arabic epigraphy and fieldwork methods, You will be responsible
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develop and evaluate semi automated machine learning techniques for content analysis adapted to handwritten documents and early printed books. These approaches will build upon existing optical character
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, including the selection and application of scale-up modelling approaches (e.g. process simulation, expert interviews, and the integration of scale and learning effects) for the identified scenarios
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petrol stations, amusement parks...) and Ecocheques; Nursery near campus, discount on holiday camps; The space to form your job content and to continuously learn through our VUB learning platforms and
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player and great collaborator Strong interest in interdisciplinary work at the interface between neurodegeneration, modeling, screening and machine learning Prior experience in iPSC modelling and CRISPR
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project proposals You will assist or co-teach in teaching activities at the bachelor’s or master’s level You supervise master’s students in the context of exercises, internships, and master’s theses You
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representation learning. You have strong programming skills, especially in Python, and preferably experience with PyTorch. You have a track record of publishing in top image processing / computer vision journals
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, on flights, in petrol stations, amusement parks...) and Ecocheques; Nursery near campus, discount on holiday camps; The space to form your job content and to continuously learn through our VUB learning
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. The top-ranked candidate(s) with the best profile (project idea & CV) acquire a preparatory post-doctoral research mandate to further develop and submit a competitive research proposal to FWO (Flemish