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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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currently exploring a range of exciting topics at the intersection between computational neuroscience and probabilistic machine learning, in particular, to derive mechanistic insights from neural data. We
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cell biology, and neurodegeneration. Contribute to the setup and optimization of novel xenotransplantation models. Collaborate across VIB (GIBA and MIND labs, amongst others) and international partners
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center for artificial intelligence in life sciences, we benefit from high-throughput computing infrastructure to support advanced data analysis and integration. Profile We are looking for a motivated
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constructs and will follow the clinical candidates on their journey from preclinical to clinical application. Candidates with a strong biological/medical focus or candidates with a focus on (ASO) chemistry and
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will remain open until a suitable candidate is identified. Make sure that your application includes: A detailed CV (incl. information about IT/computational skills) A one-page letter of intent describing
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applications in fundamental research, biotechnology and synthetic biology. Our multidisciplinary research combines high-throughput genome editing, state-of-the-art genomics methods, and computational biology
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-notch computational biology and neurosciences. See more in selected references from our labs: Hecker et al. (2025) Science 387, eadp3957 Taskiran et al. (2024) Nature 626, 212–220 Libé-Philippot et al
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sciences, biostatistics, biochemistry, bioengineering, or a related discipline. Expertise in human genetic studies and a strong interest in neurodegenerative disorders. Programming experience
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"Multi-modal analysis of nucleic acids from liquid biopsies for cancer monitoring” Description The Translational Onco-genomics and Bio-Informatics lab (TOBI-lab; tobi.ugent.be) at the VIB-UGent is