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fabrication within engineering cleanrooms, in vitro testing and collaboration with consultant radiologists and surgeons from Gateshead Breast unit to assess device performance and clinical safety. Number
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Baseline Personnel Security Standard (BPSS) clearance. Funding Sponsored by EPSRC and Cranfield University, this studentship will provide a bursary of up to £25,805 (tax free) plus fees* for four years
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the average values of the widths and spacings between two adjacent resonances. This energy range is called the “unresolved resonance region” (URR). Current computational methods treat the resonances in the URR
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) and assess emerging governance opportunities and hurdles. England is facing growing challenges in long-term water security, with the Environment Agency predicting huge shortfalls in water supply in
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the world within a range of industrial and commercial sectors. These are Water, Agrifood, Energy and Power, Aerospace, Manufacturing, transport systems, Defence and Security and management.
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PhD Studentships to support doctoral research in the Arthur Scargill Archive at the University of Sheffield Faculty of Arts and Humanities 4 Year PhD Programme Funding Available UK Students View
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Application deadline: All year round Research theme: Applied Mathematics, Computational Metallurgy UK only This 3.5-year PhD project is fully funded and home students are eligible to apply
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, and make it easier to comply with safety standards. High power density design of the EMS will also involve solving design and control challenges around electro-magnetic interference, thermal management
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
intelligence, particularly in computer vision and deep learning, offer an opportunity to automate and enhance damage assessment by learning patterns from multimodal data. This research seeks to bridge the gap
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high 2:1 in computer science, mechanical engineering, or aerospace engineering. You should have programming experience applied to physics/engineering problems and/or experience with machine learning and