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archaeology, cultural studies, history, international relations, journalism, literature, and linguistics. If you would like to learn more about the Faculty of Arts, visit rug.nl/let . Programme History is a
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fully funded PhD position within the LowDataML doctoral network, focusing on developing innovative machine-learning approaches for drug discovery under low-data conditions. LowDataML aims to bridge
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analyzing partnerships. You will get the chance to attend courses at the Erasmus Graduate School for Social Sciences and the Humanities. You are embedded in lively PhD Networks both at the faculty level (ESSB
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, these qualities are indispensable for a fulfilling PhD journey. These experiences will build you as an independent researcher, expand your professional network, and pave the way for diverse career pave the way
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developing state-of-the-art methods in network analysis, connectomics, and computational neuroscience. You will collaborate within a motivated, multidisciplinary team of PhD students and postdocs with
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to attend courses at the Erasmus Graduate School for Social Sciences and the Humanities. You are embedded in lively PhD Networks both at the faculty level (ESSB) and the team level (Governance
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computational approaches to study social dynamics that shape behaviour. Using survey and registry data, the project will map social networks and develop agent-based models linking household preferences
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to help you prepare your relocation. In addition, Coming to Delft Service organises events to help you settle in the Netherlands, and expand your (social) network in Delft. A Dual Career Programme is
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technology. As a PhD student, you join this prestigious Future Network Services (FNS) flagship project, where research and entrepreneurial pursuits converge. You will join the Signal Process Systems (SPS
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, and combining cutting-edge measurement technologies with computational modelling. Job requirements We are seeking an ambitious, hands-on PhD candidate who is excited to push the boundaries