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Field
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three industry partners. The Hy-SUCCESS consortium follows a transdisciplinary approach that involves a collaboration between a wide range of disciplines, including economics, business, management
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toward desirable outcomes. In this postdoctoral position, you will investigate how interacting factors of global environmental change, such as nutrient enrichment and drought, affect functional plant
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that helps European cities reimagine and manage their public spaces to become more liveable, inclusive, and climate neutral. The project brings together universities, municipalities, and industry partners
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together experts from TU Eindhoven and University of Amsterdam, along with industrial partners ASML, Flow Matters, and Carbyon. Your work in this project will be to develop state-of-the-art generative AI
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management A strong scientific track record, documented by publications at high quality conferences and journals (e.g., SIGMOD, NeurIPS, CIKM WWW, ISWC, VLDB) Have excellent programming skills; Established
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candidate with: A PhD degree (or equivalent qualification) in AI or data management A strong scientific track record, documented by publications at high quality conferences and journals (e.g., SIGMOD, NeurIPS
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You will join the Knowledge, Transformation & Society (KITES) section within the Faculty of Behavioural, Management and Social Sciences. KiTeS is an interdisciplinary research group with a strong
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project delivery? We're seeking an experienced professional to help bridge the gap between design, legislation, and industrialized construction within the Builtwise project. Information In the BUILTWISE
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-learning based vision pipelines to preprocess, segment cells and perform phenotype classification and regression on a variety of microscopy images. You will deal with images from multiple microscopy domains
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, estimation, planning, learning and diagnostics strategies which are at the core of the intelligent autonomous systems of the future: Designing and realizing smart autonomous systems for industry and society