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is part of the MET2ADAPT Doctoral Network (Meta-Materials and Meta-Structures for Adaptable, Resilient and Sustainable Renewable Energy Power Plants), a prestigious Marie Skłodowska-Curie Doctoral
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operator of onshore wind assets, invites applications for a fully funded PhD position on Risk-Based Maintenance Planning for Wind Turbine Components . This position is part of the MET2ADAPT Doctoral Network
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, and Avans Hogeschool. Together, you will be part of an active network of leading researchers in Design for Values, the Built Environment, and Transition Studies. Job requirements You have, or are about
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analysis) to compare brain responses with predictions of computational models (deep neural networks developed by the NASCE team). The objectives include assessing how the brain segments, groups
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expertise Opportunities for interdisciplinary collaboration and career development An inclusive and respectful workplace culture Regular social and networking events For more information please contact Prof
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, segmentation), physics-informed neural networks, and having worked with large datasets are assets. An innovative spirit and team player skills round off your profile. We offer We are a dynamic and international
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relevant schemes); Collaborate with UP FAMNIT researchers and engage in international scientific networks; Present results at seminars, conferences, and other dissemination activities; Contribute
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visit: https://www.brunel.ac.uk/about/our-history/home We are seeking to appoint a Research Assistant who will work on the ELOQUENCE European project which aims to study Large Language models in
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come from one of the following countries: https://www.ugent.be/nl/onderzoek/financiering/bof/dos/countrylist.pdf More information about the scholarship: https://www.ugent.be/en/research/funding/bof/dos
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About the Project An exciting PhD project on the effects of heat transfer of transitional compressible boundary layers will be carried out under the UK Hypersonics Doctoral Network, which has been