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Denmark and abroad. Your work will contribute directly to shaping the future of sustainable energy, while enhancing your skills for a successful academic or industrial career. We seek candidates with: A
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programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: SIMD performance engineering. Machine Learning. Communication-efficient
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for use in health science. The goal of this PhD project is to expand on these computational methods and their formal foundations and to create efficient algorithms and implementations of them. We
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to site-owners, legal permits, and procurement of new devices in pilot work. Responsibilities and qualifications You have a PhD in Chemical Engineering or similar, and you have a strong experimental
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of building blocks for non-covalent assembly supramolecular polymers. Your work would include: the design, organic synthesis and characterisation of monomeric molecular building blocks; enzymatic synthesis and
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technology, positioning your career for long-term success and global scientific impact. Your primary role will be to pioneer and optimize advanced electron-beam lithography techniques to demonstrate reliable
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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
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and qualifications Your overall focus will be to develop and evaluate bio-based circular packaging materials that improve food safety, reduce waste, and support circular value chains. The work includes
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and Biomedicine, DTU, supervised by Associate Professor Birgitte Zeuner. The position is part of the department’s mission to understand enzyme action for new sustainable bioprocessing applications
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friendly catalysts and substrates. We use NMR spectroscopy for serendipitous discoveries and unbiased characterizations of molecules, their conversion, and their interactions in complex systems. Solvent