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positioning of results for partnerships, licensing, or venture creation. Your profile PhD (or equivalent experience) in Computational Biology, Bioinformatics, Systems Biology, Machine Learning, or a related
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positioning of results for partnerships, licensing, or venture creation. Your profile PhD (or equivalent experience) in Computational Biology, Bioinformatics, Systems Biology, Machine Learning, or a related
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. First class or upper second 2(i) in a relevant subject. To formally apply for a PhD, you must complete the University's application form using the following link: https://www.sheffield.ac.uk/postgraduate
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to the development and implementation of approaches that interface with living systems through novel materials and algorithms, electric and magnetic fields, ultrasound, optics and targeted radiation, microfluidics
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health interfaces, helping to improve user engagement, health outcomes, and system efficiency. Artificial intelligence (AI) will be investigated as both a tool to assess the quality of user interface and
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across chemistry, biophysics, and food science, and is part of the collaborative framework of the ESS Lighthouse: Colloids and Interfaces in Food and Pharma (CaIFF). The Department of Chemistry at Aarhus
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Mechanochemistry at the Molecular Scale School of Mathematical and Physical Sciences PhD Research Project Self Funded Prof Graham Leggett Application Deadline: Applications accepted all year round
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and academic excellence. Ready to be part of our team? Let’s shape the future together! Where to apply Website https://iventajobdata.eu/bestmedia/img/2293325/1915754/cl/7c7695ab265bad0de8c30
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application portal for postgraduate research in Chemistry: https://www.sheffield.ac.uk/postgraduate/phd/apply When completing your application, please specify Dr Marco Conte as the proposed supervisor and
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, metals and their surfaces. Machine learning methods are used to close the complexity gap. Currently, the group consists of three full professors, one associate professor, 6 postdocs and about 15 PhD and 7