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Benefits A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance
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social sciences as well as the humanities. TPM develops robust models and designs, is internationally oriented and has an extensive network of knowledge institutions, companies, social organisations and
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in the Netherlands, and expand your (social) network in Delft. A Dual Career Programme is available, to support your accompanying partner with their job search in the … Where to apply Website https
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. This project aims to develop and optimise measures that maximise interseasonal water retention during droughts while allowing for flood risk mitigation during high-flow periods (e.g. hierarchical networks
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that are mathematically rigorous and have near-term application potential. We are strong supporters of open science (publishing, source code, data). You will also be expected to assist in teaching activities (student
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to help you settle in the Netherlands, and expand your (social) network in Delft. A Dual Career Programme is available, to support your accompanying partner with their job search in the Netherlands
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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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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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-neutral energy systems is reshaping landscapes and affecting biodiversity worldwide. Achieving net biodiversity gain while advancing renewable energy development is an urgent societal challenge. Do you want