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relevant training and development as part of the apprenticeship programme As a member of our Professional staff you will be expected to demonstrate a commitment to the professional behaviours set out in
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Civil Engineering PhD Research Project Directly Funded UK Students Prof R Dwyer-Joyce Application Deadline: 30 December 2025 Details Novel Sealing for High-Pressure H2 and Low-Carbon Storage Technologies
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along the Booster Neutrino Beamline at Fermilab, USA. Each detector in the SBN programme utilises the liquid argon time projection chamber (LArTPC) technology. The main goal of the SBN programme is to
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Design of a Fault Detection System for AI-Assisted Adversarial Attacks on Industrial Control Systems
Design of a Fault Detection System for AI-Assisted Adversarial Attacks on Industrial Control Systems School of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Aryan
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, Galois, Defence Science and Technology (DST) and the Universities of Amsterdam, Augsburg, Melbourne and Oldenburg. The post will be based in Sheffield working at Sheffield’s School of Computer Science
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Interplay between Algorithms and Combinatorics School of Computer Science PhD Research Project Directly Funded Students Worldwide Prof Parinya Chalermsook Application Deadline: 31 July 2025 Details
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and led by Prof Graham Leggett. The aim of our five-year programme is to develop a new modular approach to the creation of photonic materials, inspired by structures found in biological photosynthetic
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ideal opportunity to join international research programme bridging across disciplines between soil science, analytical chemistry, and geobiology. The post will contribute to the strategic goals
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Overview The School of Mechanical, Aerospace and Civil Engineering is seeking to appoint a Part time Portfolio Project Manager, with experience in managing collaborative industry-academic research
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will primarily support the Head of School (Professor George Panoutsos, Chair in Computational Intelligence) and his research activities in the area of Machine Learning (ML) for Engineering, focusing