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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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) Affinity with water quality and urban water systems Strong analytical skills and highly motivated and curious about urban water quality Strong in English in both written and oral communication Nice-to-haves
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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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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 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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, 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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properties on the structures underlying quantum computations. A main component of the project will be using the ZX-calculus, a graphical language for reasoning more intuitively about quantum processes. As PhD
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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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join a lively community of internationally renowned interdisciplinary energy researchers in the Department of Engineering Systems and Services at TU Delft. Our faculty hosts a diverse group of people
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created by partners at Leiden University and TNO), you will delve into the effects of social influence and social networks on citizen engagement in policy and decision making. Quite a bit is known about