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materials, which are otherwise inaccessible to material scientists? At DTU Energy, our research is targeting exactly this, and to reach these goals, we are looking for a PhD candidate to work at the interface
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funded PhD scholarships (3-year employment) in a vibrant interdisciplinary research environment. The positions are part of the research project “AI-driven materials optimization for light trapping in thin
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biomaterial-based drug delivery. The position is part of a larger interdisciplinary research initiative aiming to develop targeted therapies for osteoarthritis (OA) by combining antisense oligonucleotide (ASO
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skills and a keen interest in data-driven research. Your role will be to apply the developed semantic infrastructure to concrete case studies—such as cross-unit scheduling, process optimization
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the ambitions to accelerate the detection and optimization of sustainable chemical approaches through the development of novel reactions and advanced analytics using state of the art high-field and hyperpolarized
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with researchers at DTU and KTH, you will help develop an integrated decision-support system that: Uses real-time sensor data and AI models to assess risk scenarios. Dynamically recommends optimal
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generally require near-unity efficiency and a high single-photon purity as well as indistinguishable photon emission. You will participate in a project team with several senior researchers and Ph.D. students
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structures, followed by thorough characterization of their chemical, structural, and mechanical properties. You will work on understanding and optimizing foam properties such as porosity, elasticity, and
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Job Description Join En’Zync, a cutting-edge research center aiming to solve one of the most critical challenges in plastic recycling: the sustainable breakdown of thermoset plastics. As a PhD
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Job Description Are you a budding scientist eager to build a strong foundation for a successful research career? The DTU National Food Institute invites applications for a PhD scholarship focused on