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between process/system performance, reliability, energy and resource efficiency. This position offers unique opportunities with respect to high level research, training and innovation within manufacturing
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Candidates (DCs) capable of tackling these challenges through cutting-edge interdisciplinary research and innovation. REUNATECH brings together leading universities, research institutes, and industrial
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consumers. You'll gain deep interdisciplinary experience—combining multiple data layers and approaches including bioinformatics, machine learning, food safety management, regulatory science, genomics and user
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innovation. REUNATECH brings together leading universities, research institutes, and industrial partners across Europe to deliver a world-class doctoral training program in risk assessment, resilience
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candidate you will contribute to SEEDS , a research and innovation project funded by the European Commission, and a large global expert network under the IEA EBC Annex 96 - Grid Integrated Control
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and what they mean for the system’s efficiency and safety. You will develop models of AI bidding strategies, analyze strategic interactions using game theory, and design optimization methods to identify
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change. Engineering and applied physics – including the design of next-generation artificial phosphors and radiation dosimeters for use in medicine and other industries. Responsibilities and qualifications
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: Develop your own PhD plan outlining experimental trials. Design and conduct in vivo trials with salmonids. Collect biological samples and observational data from lab-based studies and at real fish farming
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at the cutting edge of sustainable materials design, chemical hazard assessment and microplastic pollution. This PhD opportunity is part of the EU-funded UPCYCLE project, which aims to transform non-recyclable
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you will design, build and operate advanced electrochemical systems focused on product detection. The project builds upon many years of experience - for example with the "sniffer chip" which has been