562 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" uni jobs at University of Sheffield
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of materials (e.g., DSC, mechanical testing). Excellent experimental, analytical, and communication skills. How to Apply Please submit your CV, academic transcripts, via the portal at https://sheffield.ac.uk
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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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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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a number of Schools or business areas. Information on the Finance department can be found at the following web link: http://www.sheffield.ac.uk/finance . Main duties and responsibilities Act as a
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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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, increased carbon dioxide, rainfall and snow regime change and how these impact the biodiversity of ecosystems, and the capacity of ecosystems to cycle carbon and nutrients (https://sites.google.com/a
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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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, 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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combination of physics-based, and data-driven AI-based approaches employing neural-networks and machine learning, this project will develop and validate a multi-time scale DT concept for advanced condition
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, the integration of work-related learning in taught programmes, and expanded placement year participation. The placement year opportunity as an Employability Assistant will work across faculty-facing employability