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conduct impactful, application-driven research at the interface of AM, circular economy and sustainable industrial systems. PhD Projects: You will be part of an interdisciplinary and international research
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the broadest sense: from molecule to human, and from healthcare to prevention. We train healthcare professionals and researchers through innovative educational programmes and conduct groundbreaking research in
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develops in addition system models to monitor and understand operational behavior and to act upon system irregularities. This PhD research focuses on achieving automated computational design synthesis
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glacier behavior under climate change. Your project will be conducted within the Geoscience and Remote Sensing Department at TUDelft with multiple collaborators on-site, interacting with a vibrant community
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such cognitive constraints affect individuals differently across key stages of language development, including phonological and semantic learning. The candidate will design and conduct experiments investigating
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School of Economics (ESE) Erasmus School of Law (ESL) Erasmus School of History, Culture and Communication (ESHCC) Erasmus School of Social and Behavioural Sciences (ESSB) Erasmus School of Philosophy
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aligned with the project’s objectives. Conduct a mapping and qualitative case studies of social innovations in academic systems (e.g. in the areas of funding, ethics governance, academic activism) in
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scenarios into debris-flow models. You will work within a large international team. You will conduct seasonal and annual UAV surveys in three debris-flow catchments in France (with Prof. Frédéric Liebault and
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development of AI and avoiding its misuse. These issues might be exacerbated by the lack of formal guarantees in explaining the behavior of AI systems in terms of human-interpretable, high-level concepts. While
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lifecycle of a process node, and should cover a wide variety of use cases, across different customers, with minimal adaptation. Developing beyond state-of-the-art techniques enabling such ML behaviour of ML