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Global) as one of the programmes. It is home to a community of over 100 PhD, Postdoctoral and Professorial researchers working on diverse themes related to sustainable cities and resilient infrastructure
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modelling and/or empirical analysis. The research will ideally combine insights from economics and e.g. computer science. Profile Applicants should hold a PhD in Economics with a strong economic basis and
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learning (RL), such as (but not limited to) Theory of online learning, reinforcement learning, and data-driven control Learning in games, and multi-agent RL RLHF and alignment in LLMs Representation learning
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of PhD and undergraduate students in the group. Profile You have a PhD degree in environmental sciences, environmental engineering, data science, or related fields, or expect to obtain such a degree in
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Analyzing experimental data and optimizing protocols This position is full-time, with flexible starting dates in 2025. Profile A PhD degree in physics or relevant fields Prior experience in experimental
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with exam grading. - The anticipated start date is 1 September 2025 (earlier start dates can be considered). - A PhD in Mathematics (completed by the start date) is required. Please submit your
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qualifications with a PhD in physics, electrical engineering, materials science or a related subject, and a background in magnetic thin films, nanostructures and spintronics. You should be motivated, proactive and
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temporal scales - in both terrestrial and aquatic ecosystems, their origination and their response to global changes. To make these connections, we collect data through environmental DNA methods, remote
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handling: isolation, fixation and vibratome sectioning for immunostaining. AI-assisted image analysis for spatial analysis of tissue samples. Multidisciplinary team work, with immunologists, data scientists
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knowledge graphs into a simulation-as-a-service middleware. Performing software engineering and data management tasks in support of the realisation of this architecture. Exploring and evaluating different