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obtained (no more than one year) with at least the mention of distinction/cum laude. For a prospective post-doc: experience in protein chemistry, molecular biophysics including LLPS and/or structural
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, Biotechnology, Biochemistry or related with at least the mention of distinction/cum laude. For a prospective post-doc: experience in cloning techniques and microbiology is essential. You are fluent in English
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. External and internal post-doc researchers who are eligible to submit an FWO or MSCA post-doc application are invited to apply. The top ranked candidate(s) with the best profile (project proposal & CV
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FWO-UGent funded bioinformatics postdocs: Unveiling the significance of gene loss in plant evolution
Integration of phenotypic data with omics analysis Explore machine learning and network analysis methods Profile Essential A PhD in Bioinformatics, Computational Biology, Evolutionary Biology
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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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journals. Excellent teamwork, communication skills, and a commitment to advancing the field of neuroimmunology. You comply with the FWO Post-doc and Marie Sklodowska-Curie Post-doc eligibility criteria. We
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computational and machine learning approaches, you will decipher genomic regulatory programs and infer the evolutionary patterns of gene regulatory networks in cortical neurons, study their developmental origin
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and invited for interviews. The position remains open until a suitable candidate is found. For further information and questions, please send an email to Roosmarijn Vandenbroucke .