537 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" uni jobs at University of Sheffield
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at the University of Sheffield. There will be many opportunities to collaborate with ongoing work in the lab. For more details see http://www.alisonewright.co.uk. Applicants are strongly encouraged to contact Dr
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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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application form using the following link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying All applicants should ensure that both references are uploaded onto their application as a decision will be
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, the project proposes to also use machine learning techniques to learn parts of the prior and penalty structure from data in an interpretable way. Examples include mapping liquidity and volatility features to a
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-pathogen interaction using in vitro models and the zebrafish experimental model of infection. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying
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very difficult. In other large scale machines (e.g. hydro-electric power stations, ships propeller bearing) sliding type or ‘hydrodynamic’ bearings [4] are much more common. There is increasing interest
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about this project. Funding Notes We welcome inquiries from: - applicants that have already secured PhD funding - self-funded applicants References https://microbialphysicsgroup.sites.sheffield.ac.uk
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or externally funded students only. References The Partridge group website can be found here: https://bmpartridge.wordpress.com/ View DetailsEmail EnquiryApply Online
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hydrogels to mimic the increasing tissue rigidity within PDAC tumours. Ultimately, this project aims to develop Ect2 as a potential new target for PDAC therapy. Lab website: https://www.helenmatthewslab.org
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silk extrusion, which will guide attempts to produce synthetic silk in the lab. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Funding Notes