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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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microbiology and CMDs. You need to be ambitious, motivated, capable of working independently, and have good skills within written and spoken English. In addition, you should have experience with experimental
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foods for the future? If you have knowledge within the area of allergy and protein-chemistry as well as have hands-on experience with cell-based in vitro models and are looking for a PhD fellowship
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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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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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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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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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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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experiments and analysing data. Design and perform cultivation in bioreactors. Writing peer-reviewed scientific publications. Actively interacting and collaborating with other partners involved in the project