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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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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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information systems engineering. The group conducts research on the application and the impact of digital technologies like DLT/Blockchain, Digital Identities and Machine Learning/AI on organisations from both
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willingness to learn quickly Fluent English Ability to work both independently and in collaboration We offer Multilingual and international character. Modern institution with a personal atmosphere. Staff coming
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the best profile (project proposal & CV) acquire a preparatory post-doctoral research mandate to further develop and submit a competitive research proposal to FWO (Flemish Science Foundation) or MSCA
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. Excellent writing and communication skills in English are key assets. You are motivated to acquire new skills and work in a multidisciplinary team. You act with attention to quality, integrity, creativity and
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motivated to acquire new skills and work in a multidisciplinary team. You act with attention to quality, integrity, creativity and collaboration. Your research qualities are in line with the faculty and
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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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of CLiPS, which focuses on the application of statistical and machine learning methods, trained on corpus data, to explain human language acquisition and processing data, and to develop automatic text
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present your work at national and international conferences (50% FTE). You will teach the course MA Photography & Intermediality (6 ECTS- credits, 2E semester) (10% FTE)https://www.uantwerpen.be/en/study