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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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2023 as the 10th VIB center, with the core mission to study fundamental problems in biology by combining machine learning with in-depth knowledge of biological processes. We aim to work towards
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and Delivery: Design and develop training programs on Data Science and AI topics, including machine learning algorithms, data visualization, and statistical analysis. Provide foundational sessions about
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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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and building and maintaining machines and automation, preferentially with experience in plant biology. Job description Maintenance of automated phenotyping systems, containing conveyer belts or gripper
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Python or R A willingness to learn and apply machine learning approaches We offer A versatile and challenging job in a vibrant and world-class research environment operating at an international level
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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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working in a lab (placements during degree studies is sufficient) Basic computer skills (text processing, spreadsheet, presentations) Enthusiastic team player Basic understanding of immunology Desirable but
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Python and R You have experience in the analysis of omics dataset using statistical or machine learning methods You have experience in the development of wet lab protocols for performing in vivo CRISPR
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. Assist in stock management, data management, and the QC program of the facility. Train the users on the analyzers and FACS machines. Assist researchers with acquiring, analyzing, and presenting their data