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Field
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Essentials PhD (completed or near completion) in Computer Science, Computer Vision, NLP, Machine Learning, Computer Graphics/Animation, HCI, or a related field. Strong background in deep generative
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Essentials PhD (completed or near completion) in Computer Science, Computer Vision, NLP, Machine Learning, Computer Graphics/Animation, HCI, or a related field. Strong background in deep generative
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Postdoc Impact of Computational Infrastructures on Public Institutions and Administration of Justice
completed a PhD in a relevant field including but not limited to STS, Computer Science, or Organizational, Software or Infrastructure studies. This project requires the ability to conduct interdisciplinary
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researcher for a period of 18 - 24 months. Public professionals increasingly operate under high pressure, having to balance formal rules, public expectations, and moral considerations. Increasingly, civil
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Essentials PhD (completed or near completion) in Computer Science, Computer Vision, NLP, Machine Learning, Computer Graphics/Animation, HCI, or a related field. Strong background in deep generative
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: 12 September 2025 Apply now Are you a data scientist interested in designing and implementing process-informed machine learning and uncertainties quantification methods? Join us as a postdoc and work
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the PI and an existing team composed of 1 Research coordinator and 3 PhDs. The postdoc will work in the Netherlands (Groningen) but might spend a brief amount of time in Spain for fieldwork (to collect
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for cognitive science and artificial intelligence, including about 35 PhD students. Core research domains include cognitive science, machine learning, deep learning, games, virtual reality, computational
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join Technology, Innovation Society (TIS) group to develop new LCA and MFA based impact assessment method and support regional PV developers to make their products more circular and sustainable
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produce high-quality SCMs. Firstly, methods will be developed to improve the properties of recycled concrete, ensuring strong and durable end products regardless of their origin. Secondly, this project will