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spectroscopy. It is expected that the researcher will co-supervise a starting PhD student on the same project. The project will require a diverse set of interdisciplinary skills in live 3D microscopy, organoids
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international conferences and workshops Implementing proof-of-concept solutions Providing guidance to PhD, MSc, and BSc students Organizing relevant workshops and demonstrations Contributing to the acquisition
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experiments. to apply for a postdoctoral fellowship at the FWO post-doc call of December 2025 (see below). Profile You hold a PhD in biology, environmental sciences, or a related area, and you should be
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researcher interested in studying human-associated microbial communities in health and disease. The ideal candidate has the following qualifications: A PhD degree in bioinformatics, computational biology
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postdoctoral researcher interested in studying human-associated microbial communities in health and disease. The ideal candidate has the following qualifications: A PhD degree in bioinformatics, computational
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, dental X-ray, and PET/CT You will: Publish in MICCAI, CVPR/ECCV, NeurIPS/ICLR and leading journals (T-MI, MedIA, T-PAMI). Work together with top international companies and top EU labs. Mentor PhD/MSc
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scientific publications Present findings at renowned international conferences and workshops Guide and mentor PhD, MSc, and BSc students working on related topics Support the organization of demonstrations and
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. Profile You hold a PhD in Artificial Intelligence, Computer Science, Communication Science, Clinical Psychology or related fields (or you will have obtained it by the time you start the post-doctoral
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for the design of synthetic promoters and data analysis. PhD in (Plant) Biotechnology, Molecular Biology, Biochemistry or equivalent A publication record in peer-reviewed journals, and excellent proficiency in
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driving context-specific expression. You will work very closely together with your wet-lab colleagues for the design and follow-up of experimental validations. PhD (or MSc with research experience) in AI