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design to develop new high-potential organic flow battery electrolytes with unprecedented stability. The computational work will be done in close collaboration with an experimental counterpart
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of machine learning frameworks Your research will include using models and codes to investigate the optimized design, integration, and intelligent operation of thermal energy storage systems in industrial
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. Across these applications areas, a central and critical challenge in bioprinting is the design of appropriate biomaterials to serve as synthetic matrices and scaffold for the tissues. You will be part of a
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DTU's rules for the PhD education . We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding
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regulation facilitates or hinders implementation. In doing so, the project aims to generate insights that contribute both to academic debates in innovation management and to practical questions of how
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that aims to educate and train the new generation of Doctoral Candidates (DCs) capable of tackling these challenges through cutting-edge interdisciplinary research and innovation. REUNATECH brings together
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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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to join our team. The project will focus on developing innovative silicone-based foams tailored for healthcare applications. Responsibilities and qualifications The project focuses on the design
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will be to: Design, develop, and verify an AI-sequencing based tool for direct identification of bacterial species, and interpretation of bacterial genome from enrichment samples. Test and implement
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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