653 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" "Univ" uni jobs at University of Sheffield
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experimental manufacturing data. Thermoplastic overmoulding is an advanced composites manufacturing process combining stamp forming of aligned, continuous fibre composites (CFCs) and injection moulding
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delegated budget responsibility for individual events. Analyse data and feedback from events, creating reports and making recommendations for future activity. Act as a key point of contact for event enquiries
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Airyscan, spinning disk) and analysis. Contribute to lab organisation including ordering, cleaning, training, supervision. Critically analyse data and experimental design. Presentation of results in the form
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research directions include (but are not limited to): Data-Driven Material Characterization: Leveraging machine learning to extract constitutive models and material properties from experimental data and
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of the UK’s most distinctive university campuses safe, operational, resilient and compliant. From the iconic Grade II listed Arts Tower to the state-of-the-art Information Commons, you’ll be working with a wide
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, technical reports, and presentations to internal and external stakeholders, supporting data-driven decision-making. Stay abreast of the latest developments in relevant technologies, methodologies, and best
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of systems to aid the organisation in the flow of work for the team, and liaise with team members, colleagues from other teams in EFM and the wider University to progress works. Record information, create
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range of enzymes are employed to package and resolve entangled DNA. In this post-doctoral project, you will combine molecular simulation with single-molecular data to determine structural changes in
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taking bookings (internal and external), capturing all meeting room requirements are stated, and ensuring that all meeting rooms are presentable at all times. Record and report visitor information
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and Environmental Science undergraduate programmes, and our new Masters in Environmental Science and Data. We particularly seek individuals with a proven track record in handling large-scale