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work internationally, and participate in TU Delft’s extensive training programme. The position is embedded within the globally recognized Department of Hydraulic Engineering (HE) at TU Delft, renowned
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evaluation scenarios alongside academic research training. It would suit candidates interested in careers in academia or industry, especially in AI, sensing, autonomy, robotics, or embedded systems. Background
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predict the behavior. You will be embedded in our team, which holds dedicated in-house expertise in 3D printing, pH-feedback systems and modeling, and you will have assistance on the various aspects
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at the PhD School of Natural Sciences at Aarhus University. The expected PhD-project will be embedded in a work package that focuses on the design, implementation, and evaluation of AI and immersive virtual
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foundation models trained on large-scale Earth Observation data offer a promising alternative by learning transferable embeddings adaptable to multiple tasks. Their integration with hydrodynamic modelling
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might just be what you are looking for. This PhD position is embedded in the large-scale transdisciplinary project Re-Ge-NL focused on accelerating the transition to a regenerative, remunerative and
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position is embedded in the ZIEL – Institute for Food & Health at the Technical University of Munich (TUM) and will be carried out at the Chair of Plant Proteins and Nutrition. ZIEL is one of Europe's
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data-driven learning and which should remain within structured optimization. In line with AID’s research areas, the project will emphasize knowledge embedding, uncertainty representation, risk-aware
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responsiveness. You will be fully embedded within the collaborative SETD1AB consortium established between UMC Utrecht (PIs Dr. Onur Başak, Dr. Antón-Bolaños) and Erasmus MC (PI Dr. Stefan Barakat, consortium
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candidate will be supervised by Dr Jannes Willems, Dr Vanessa Harris and Prof Maria Kaika. The candidate will be embedded in the research group Urban Planning (UP) in the Department of Geography, Planning and