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integrating photovoltaic systems, battery storage, buildings, electric vehicles, and local controllers. While this evolution is essential for the energy transition, it also creates new vulnerabilities to cyber
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professional development needs of PhD students, with a focus on those pursuing industry, government, nonprofit, entrepreneurial, and non-academic career trajectories. The Associate Director develops deep
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SHARE@NTU Corporate Laboratory focuses on the development of key technologies for humanoid robotics, aimed at enabling intelligent services, industrial assistance, and human-centric applications
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are seeking a PhD candidate to join our young team (Computational Systems Medicine) within the context of the BMFTR-funded DIASyM (https://diasym.mscoresys.de/ ) project, to develop new statistical and
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students will have the opportunity to work together with internationally recognized scientists and develop their research projects in an innovative research environment. We also have a PhD Association, which
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presentations, and participate in the activities of the local, national, and international neuroscience and ophthalmology communities. Minimum experience: PhD in Microbiology and Immunology or similar degree
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produce data that looks plausible but violates physics and is therefore of limited use for grid planning. As a PhD candidate you will develop physics-informed, domain-constrained generative models
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for sustainable transport planning. The purpose of this PhD project is to develop modelling approaches that improve the ability to analyse future desirable transport scenarios under deep uncertainty. A central
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between government actors (e.g., county councils) and communities to determine the local development potential and reception of renewable energy projects in coastal areas, in line with key government policy
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Western Europe. Your duties and responsibilities include: Developing a concrete and feasible research project fitting the overarching theme and resulting in the defence of an article-based PhD thesis