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and written English (C1 level). Additional Information Benefits A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work
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of you Required PhD in machine learning, physics, or a related field. Established expertise in deep learning (familiarity with graph neural networks, transformers, diffusion and flow based generative
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, linked to major study cohorts such as the LLS and LifeLines. The ultimate goal is to gain insight into how socioeconomic resources, such as income, education, and social networks, cluster within families
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network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you: Full-time employment for 2 years. Salary in accordance with
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most of our bicycle budget, or join networks such as Young@EUR , FAME or QuEUR. Time and space for your development in the broadest sense: development days and a personal career budget and free access
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(0.4 FTE) and time to develop projects and networks (0.2 FTE). What we ask of you a completed PhD with a focus on private international law, and preferably post-doctoral research experience; broad and in
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perform curiosity-driven and use-inspired fundamental research in Computer Science. The main research themes are Artificial Intelligence, Computational Science, and Systems and Network Engineering. Our
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our team. As postdoctoral researcher, you will be embedded in the Cognition, Data and Education (CODE) section, at University of Twnete, working closely with AI specialists and data scientists
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can be yourself and we pay attention to each other and to the world around us. Make the most of our bicycle budget, or join networks such as Young@EUR , FAME or QuEUR. Time and space for your
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remain grounded in construction logic, code compliance, and system coordination across HVAC, water, electrical, and safety domains. This position is ideal for someone who wants to work in an academic