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Field
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training. Generative AI model training, Design and implement generative models such as Generative Adversarial Networks, Variational Autoencoders, and Diffusion Models to generate realistic ship designs
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, scientific programming. Good communication skills in English, proficiency in report/paper writing and technical presentations. A good team player, and willing to cooperate with partners and stakeholders
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, each published as a separate chapter in international journals. The project is funded by the Dutch provinces and the OBN (Knowledge Network for Restoration and Management of Nature), and is co-supervised
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models using cutting-edge language technology. The project involves collaboration with experts from TU Delft, focusing on enhancing the security of machine learning model sharing without compromising data
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for studying ageing but is rare in wild populations. We will analyse longitudinal changes in social networks and biological age (using an epigenetic clock) within individuals to reveal the effect of social
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, to form interdisciplinary collaborations across fields and geographical locations within the Netherlands, and to acquire skills by active participation in science communication activities, interacting with
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interdisciplinary community, facilitated through cross-faculty institutes and seminar series addressing a range of societal problems, including climate change, the energy transition, and artificial intelligence. As a
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centre for life sciences. The themes we deal with are relevant to everyone around the world and Wageningen, therefore, has a large international community and a lot to offer to international employees
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to the next level? Job Description Join us in shaping the future of circular footwear design. This PhD is part of the Marie Skłodowska-Curie Doctoral Network SCARPA – Sustainable and Circular Footwear Training
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facilitated through various seminar series and social events. TU Delft hosts a vibrant interdisciplinary community, facilitated through cross-faculty institutes and seminar series addressing a range of societal