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vehicles for offshore inspection, surveillance and exploration. The project focuses on the development of high-speed USV technologies that can operate reliably in challenging marine environments and support
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Are you interested in shaping the future of intelligent and secure computing systems where artificial intelligence meets reliable embedded hardware? We are looking for a motivated PhD candidate, as
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potential of humans and artificial intelligence (AI) for the rapid and reliable construction of digital systems, guided by rigorous mathematical foundations. Our current main instrument to pursue
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pursues the formalisation of computing in an open access, universal repository. Our vision is to unlock the combined potential of humans and artificial intelligence (AI) for the rapid and reliable
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Department of Food Science (FOOD KU), Faculty of Science (SCIENCE) invites applicants for a PhD fellowship in Food Engineering, “Linking Powder Structure to Performance” The project is in
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partners. The model will represent the main structure of the process, including thermal behaviour and gas flows, key dynamics of the system apparatus, sensor and actuator dynamics, and relevant thermal and
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, crystallization, and characterization of inorganic and coordination compounds. You can plan and conduct experimental work in a laboratory setting, and you work in a structured and reliable way, taking care of both
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in Skagen, Denmark, one of Northern Europe’s busiest anchorage hubs. The SPARK project will showcase a scalable, reliable, and cost-effective offshore-onshore power supply solution, reaching TRL 8
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of abstract systems and structures. The majority of the work will be theoretical, but for certain problems it may be relevant to set up simulations in a quantum network simulator such as NetSquid or Q2NS
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calibration to support reliable regional projections. Your work will play a vital role in mapping regional mitigation hotspots and assessing the trade-offs between nutrient use efficiency (NUE), nitrous oxide