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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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projects Manage research projects and prepare project deliverables Provide guidance to Master students and PhD students that submit work to Information Systems outlets The candidate should demonstrate
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: Publish in CVPR/ICCV/ECCV, NeurIPS/ICLR, INFOCOM/ISIT and leading IEEE journals (T-PAMI, T-IP, T-IT, T-CSVT and T-SP). Collaborate with top EU & US labs and industry partners. Mentor PhD and Master’s
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partnerships and attract national and European grant funding Mentor and being involved in the supervision of PhD students on an everyday basis, offering guidance and support in their research, while co-authoring
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the PhD candidates in formulating research questions while ensuring that individual projects take into consideration the overarching research questions Investigating the overarching question of general EU
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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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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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supervising PhD students and other team members. You will fulfil a limited number of teaching activities in the Master’s program in International Relations and Diplomacy. You will participate in the provision
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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