536 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" uni jobs at University of Sheffield
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found at the following link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Applicants can apply for a Scholarship from the University of Sheffield but should note that competition
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apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Funding Notes Self Funded or externally funded students only References Cirillo, S., et al., (2024
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Research Application form available here: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying. Please clearly state the prospective main supervisor in the respective box and select ‘School
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Application form available here: http://www.shef.ac.uk/postgraduate/research/apply Please clearly state the prospective main supervisor in the respective box and select School of Clinical Medicine as the
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expertise in machine learning, soil microbiomes, microbial 3D printing and biophysics, our team has access to a broad spectrum of techniques and practical know-how. This is therefore an exciting opportunity
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contexts. The project will build on both consolidated knowledge in the history of technologies, and the most recent literature on the perception of digital and computer-assisted creative outputs
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improving the quality of the resultant analysis. This will also involve the collection of a curated data set, and the use of Machine learning tools to further enhance the analytical process. Together
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to develop cutting-edge imaging and analytical tools to answer fundamental biological questions about how tissues and tumours respond to mechanical stresses. Lab website: https://www.helenmatthewslab.org
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Senar, an expert on biological invasions, at the Museum of Natural Sciences in Barcelona, Spain. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying
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concern. According to the World Health Organization (https://www.who.int/news-room/fact-sheets/detail/antimicrobial-resistance), bacterial AMR alone was directly responsible for 1.27 million global deaths