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Job description We have an open position for a PhD in a multidisciplinary project financed by the Research Foundation Flanders (FWO) on: “Understanding and managing nematodes as soil foodweb
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scientific, societal and internal services that contribute to the reputation of the entire VIB and university. Your profile PhD or equivalent experience in machine learning or a related quantitative field
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concretely your work package contains: We invite applications for a fully-funded postdoctoral researcher within the newly-awarded imec.icon project “Learning by Explaining Multimodal Medical AI (LEMMA)”. Why
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, you'll design and deliver training sessions, coach individuals, and help shape e-learning modules. As a trainer you will learn VIB researchers how to build a story, how to visualize scientific data and how
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of this PhD project is to advance our understanding of the spatial and temporal effects of climacteric ripening in tomato fruit. This will involve incorporating the fruit microstructure that leads to spatial
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The FWO supports fundamental scientific research, stimulates international cooperation and promotes equal opportunity. The special PhD fellowship enables persons not employed within scientific
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expertise in architectural design and methodology. You can demonstrate experience in practice in developing and/or customizing digital workflows and tools. Experience with automation and machine learning
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for Intelligent Machines (IONIAN).” Why cooperative perception? State-of-the-art autonomous vehicles can miss a critical obstacle when their camera is blinded by sun glare, or their LiDAR beam is blocked by a truck
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programmes and language certificates obtained. The courses you will teach will include an English-taught master-level course on “Theory of Fundamental Interactions” (6 ECTS, 60 hours). You will play a role in
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. Digital Extraction from Historical Taxonomic Literature Application of OCR and machine learning algorithms to digitize printed and handwritten documents; Linking specimen mentions in literature to digital