139 computer-programmer-"the"-"U"-"UCL"-"IMPRS-ML"-"IMPRS-ML" positions at University of Sheffield
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Overview The Engineering and Maintenance team provide a reactive and planned programme of works for every building within the university, working in collaboration with other university departments
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detect changes in step quality associated with acquired brain injury?” and involves a programme of laboratory-based work using a smart pressure-sensor based insole and app. We aim to develop biomechanical
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; computer vision; and machine learning. Ability to initiate, plan, organise, implement and deliver programmes of work to deadlines. Ability to work with people from different backgrounds and in team across
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experience, leading to timely achievement of their apprenticeship programme. The Engineering Skills Coach will be responsible for the delivery of any CPD programmes, within their specialist area, which
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(PPPA) group at the University of Sheffield, in collaboration with other institutions and industrial partners, pursues a wide programme related to these muon applications. This PhD project is
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. Identify, create and provide a training and development programme tostaff on contracts and contract negotiation. Develop and implement an efficient contracting process, including an appropriate, transparent
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GIF CDT: A Novel Gas/Liquid contactor for Direct Air Capture and industrial CO2 capture technologies
applications for the following project. This advert will close when a suitable candidate is identified, so early application is encouraged. The CDT boasts an exciting and challenging programme specifically
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relevant Cluster Lead a 1-page expression of interest indicating the type of long-term fellowship they would like to apply to; how their research programme would enhance the activities in the School
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application statement. Essential criteria Must have a technical background with experience in the software development lifecycle. Previous experience as a software engineer or developer is crucial (assessed
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/MSc or equivalent in Computer Science or Software Engineering (assessed at: application/interview). A track record in software testing, testing for autonomous systems, or autonomous driving system