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(Faculty of Civil Engineering and Geosciences) and work closely with Dr Louise Nuijens and an (inter)national network of collaborators. QUASI offers a unique opportunity to combine cutting edge observations
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webpage: https://www.eur.nl/en/erim/erim/journal-list . Your work will also be published as a PhD dissertation. Cooperation To strengthen your international research network and complement your time at RSM
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD position is one of 13 positions in the Marie Skłodowska-Curie Doctoral Network
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department at TU Delft (Faculty of Civil Engineering and Geosciences) and work closely with Dr Louise Nuijens and an (inter)national network of collaborators. QUASI offers a unique opportunity to combine
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to work on the design and implementation of Oscillatory Neural Networks (ONNs) for physics-based computing applications. You as the candidate will be an integral part of the prestigious NWO AiNED AI-on-ONN
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of Technology (TU/e) is a leading research group dedicated to pushing the boundaries of knowledge in the field of physic-based computing. We are currently seeking a highly motivated PhD student to join our team
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, immersive XR, aerial networks, and mobile edge computing for 6G+. Collaborate closely with other ECO research labs, TU/e colleagues in Center for Wireless Technology , and members of the Netherlands Wireless
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has an extensive network of knowledge institutions, companies, social organisations and governments. Click here to go to the website of the Faculty of Technology, Policy and Management. Conditions of
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in Earth sciences, physics, applied mathematics, engineering, computer science or related discipline. Demonstrated interest in climate, oceanography, atmospheric science, or the cryosphere. Prior
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) Engineering, Construction Management, Industrial Engineering, Supply Chain / Logistics, Operations Research, Computer Science, Information Systems, or a related field. Strong skills or clear interest