540 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" uni jobs at University of Sheffield
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acids institute (https://sheffield.ac.uk/nucleic-acids) and the centre for Single Molecule biology (https://smash.sites.sheffield.ac.uk/), providing additional expertise. This project will contribute
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neurological and cardiovascular disorders. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying References GONZÁLEZ-SANTANA, A., ESTÉVEZ-HERRERA, J., SEWARD
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, or equivalent. Please see this link for further information: https://www.sheffield.ac.uk/postgraduate/phd/apply/english-language. Funding Notes Applications for projects from sponsored or self
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the third Higgs boson decays to two tau leptons, or another highly sensitive combination. The student will gain expertise in machine learning techniques for signal-background discrimination and will
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with the CDT’s aim to achieve a sustainable wind farm lifecycle by developing methods for high-value reuse of composite turbine blades. Machine learning and non-destructive evaluation techniques will be
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this link for further information: https://www.sheffield.ac.uk/postgraduate/phd/apply/english-language. Please see this link for information on how to apply: https://sheffield.ac.uk/postgraduate/phd
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to apply can be found at the following link: https://www.sheffield.ac.uk/acse/research-degrees/applyphd Applicants can apply for a Scholarship from the University of Sheffield but should note that
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EngD: Enhancing productivity in manufacturing through automation and autonomy in computer aided process planning (sponsored by Boeing) EPSRC Centre for Doctoral Training in Machining, Assembly, and
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Fully-funded EPSRC CDT in Machining, Assembly and Digital Engineering for Manufacturing (MADE4Manufacturing) School of Mechanical, Aerospace and Civil Engineering EPSRC Centre for Doctoral Training
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macropinosomes to retrieve membrane proteins and therefore sustain both immune and cancer cell function. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying