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Overview The University of Sheffield has a large and varied portfolio of buildings which require careful management in terms of the water services. The Water Compliance Team works together
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year round Details Proteins bind and recognise each other using large surface areas. This recognition process is vital for a variety of biological applications. Sensing and recognizing specific proteins
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development and scientific application of SAMS, contributing to the School’s and the project’s international reputation in solar physics and data-driven modelling. Main duties and responsibilities Construct and
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(work-related expenses are covered, you do not require access to your own vehicle) Provide information, advice, and guidance to prospective students acting as a positive role model. Work closely with
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full UK driving licence, be confident driving long distances, and comfortable with overnight stays (work-related expenses are covered, you do not require access to your own vehicle) Provide information
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data gaps by combining process simulation (e.g., Aspen software) with machine learning techniques. By developing accurate, large-scale life cycle inventory data using enhanced digital tools like deep
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collisions at an unprecedented energy of 13.6 TeV, delivering the largest amount of available data yet. The ATLAS experiment itself is a general purpose detector that allows to study a large range of particle
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in our large and diverse academic School of Biosciences. As this role requires a combination of state-of-the-art approaches, it provides an excellent opportunity to develop your skills in
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element models. ● Work collaboratively with other colleagues for the validation of the finite element models of rib samples based on in situ mechanical testing data. ● Lead the model uncertainty
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accepted all year round Details DUNE is a large international project to design, construct and operate a multi-kilotonne scale liquid argon detector for neutrino physics, neutrino astrophysics and a search