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) the versatile fermentation to produce microbial oils. Program: 1) Develop a hydroxycinnamic acid recovery process from the protein extract and the (depolymerized) lignin stream 2) Identify key bio-aromatic
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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field of molecular and computational genomics of Alzheimer’s disease. The Sleegers lab is an international team committed to increasing insights into the complex genetics of Alzheimer’s disease and to
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to apply plant biotechnology for applications in the Global South Welcome but not required Experience in bio-informatics Interest in automated phenotyping Key personal characteristics You are enthusiastic
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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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fundamental understanding of the record-breaking conduction in multicellular cable bacteria, and in this way, design entirely new bio-based electronic materials. Cable bacteria are multicellular organism
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Postdoc researcher ERC project CAGED: Ageing in the Carceral Environment: The Existential Dimensions
an interdisciplinary theoretical and conceptual framework that meaningfully combines quantitative rigor with qualitative depth Mentor and inspire junior researchers and graduate students, fostering a research culture
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2026 - 23:59 (UTC) Type of Contract Temporary Job Status Negotiable Offer Starting Date 1 Apr 2026 Is the job funded through the EU Research Framework Programme? Other EU programme Reference Number AAP
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interest in neurobiology and/or evolutionary biology, with a strong background in bioinformatics. PhD in Bioinformatics, Engineering, Computer Science, Physics, Bio-engineering, or Life Sciences
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Description VIB.AI, the VIB Center for AI & Computational Biology, is a young research center dedicated to combining machine learning with in-depth knowledge of biological processes. Our mission is