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will join a vibrant, multidisciplinary team to push the boundaries of therapeutic protein engineering. Responsibilities and qualifications Design and implement inhibitor libraries using generative AI
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integration of pit thermal energy storage in thermal grids Collaboration with KTH Royal Institute of Technology on building-integrated thermal energy storage Work as an assistant teacher in relevant courses
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Job Description A 3-year PhD position within ligand-observed NMR analysis of carbohydrate-active enzymes is available in the Enzymatic Synthesis Technology group at the Department of Biotechnology
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strong background in industrial engineering, computer science, software engineering, energy systems, robotics, or related disciplines Interest in AI, simulation, and optimization for energy and industrial
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partners are: Visibuilt (a start-up company), DTU Sustain, and Munck Asfalt (a road construction company). Project description and tasks This PhD project includes a combination of modelling, coding, field
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. This Ph.D. project is focused on experimental investigation and realization of advanced quantum photonic devices, based on crystal-phase structures in nanowires. This is a recently developed technology
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characterization aspect of the project, i.e. investigation of dynamics during catalyst activation and reaction by in-situ transmission electron microscopy. VISION is pioneering technology for visualizing catalytic
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on experimental investigation and realization of advanced quantum photonic devices, based on crystal-phase structures in nanowires. This is a recently developed technology uniquely allowing for the fabrication
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the interfacial phenomena between water contaminants and adsorbent materials. As a member of the “Nano-Micro-Macro. Structure in Materials” research group, led by Prof. Joerg Jinschek, you will push the boundaries