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available from 10 November 2025, or as soon as possible hereafter. Very motivated and committed candidates with experience in cardiovascular research and biomedicine are invited to apply. The employment as a
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amplifiers, leveraging microwave and Josephson nonlinear engineering to enable quantum-limited microwave detection, serving as a backbone for microwave quantum optics experiments and scalable superconducting
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explored using scientific machine leaning. Machine learning, programming experience and a curious mind-set You are fascinated by how computers can learn from data and you have a strong interest in the
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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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experimental research in nanoparticle catalysis using advanced operando electron microscopy This collaborative PhD project between Technical University of Munich (TUM) ( the group of Prof. Barbara A.J. Lechner
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programme, please see DTU's rules for the PhD education . Assessment The ideal candidate will have solid background in experimental molecular biology combined with experience with microbial protein production
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and systems. Your PhD project will result in scientific publications and experimental validation of your results. You will present at international conferences as part of your research training, and you
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more information for a given experimental budget. Efficient active learning depends on the careful co-design of experiments and inference algorithms. You will explore topics such as how to elicit
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helping your colleagues. The group is part of the Section for Experimental and Translation Immunology at the Department of Health Technology . Our section has all the necessary infrastructure and comprises
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and social media platforms and 3) perceptions and subjective experiences among users (the PhD project advertised here). The PhD student will be expected to take part in joint activities and