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microscopy data analysis, chemometrics, and machine learning. This position is ideal for a researcher who enjoys working at the interface of imaging, data science, and environmental monitoring. The project
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and ultimately accelerate these activities to combat climate change. Our approach combines science and engineering, beginning with the study of fundamental microbial metabolic processes that can be
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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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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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. We are looking for an individual with expertise in the following specific profiles to enhance and complement the team: Profile Ph.D. in Molecular biology or related fields. Demonstrated expertise in
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of Antwerp is seeking a post-doctoral candidate willing to write a research proposal on the topic of Classification of Online Multimodal Data. The position is embedded in the Computational Linguistics branch
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Overview The group of Specialized Metabolism , led by Prof. Alain Goossens at the VIB-UGent Center for Plant Systems Biology, and the metabolic engineering research group, led by Prof. Marjan De Mey
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Department: Department of Biology Regime Full-time Let’s shape the future - University of Antwerp The University of Antwerp is a dynamic, forward-thinking, European university. We offer
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project focusing on a long-standing and fascinating question : « what makes our brain cells human ? » (see our recent work : Hecker et al. Science 2025; Libé-Philippot et al. Cell 2023; Vanderhaeghen and
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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