321 assistant-professor-computer-"https:"-"https:"-"https:"-"https:"-"EURAXESS" positions at University of Sheffield
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Overview Applications are invited for the post of Research Assistant within an internationally recognised research group in a vibrant and stimulating environment at the Sheffield Institute
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The University of Sheffield is a remarkable place to work. Our people are at the heart of everything we do. Their diverse backgrounds, abilities and beliefs make Sheffield a world-class university. We offer a fantastic range of benefits including a highly competitive annual leave entitlement...
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to access a wide range of opportunities and events. It also plays a key role in our reporting, helping to drive data-driven decision-making across our programme of engagement and fundraising activities. You
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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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As a Domestic Assistant, you will: Clean using the appropriate cleaning techniques, materials and equipment. Use cleaning equipment and materials correctly and safely in accordance with health and
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pluripotent stem cell-derived motor neurons (iPS-MN) to functionally validate genetic drivers of ALS. We are seeking a motivated Research Assistant to assist with the day-to-day running of the wet lab work and
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PhD in Computational Fracture Mechanics: Methods, Programming and Simulation School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr J L Curiel Sosa Application
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Computational Circular Design: AI-assisted optimisation for disassembly (C3.5-AMR-Casamayor) Advanced Manufacturing Research Centre PhD Research Project Competition Funded Students Worldwide Dr Jose
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Overview We are seeking to appoint a Contracts Assistant with responsibility for working with the Contracts and Facilities Manager to ensure that the University’s accommodation and associated
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PhD at the Forefront of Computational Solid Mechanics and Machine Learning School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr J L Curiel Sosa Application