55 computational-physics-"https:"-"https:"-"https:"-"UCL" positions at Cranfield University
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of first or second class UK honours degree or equivalent in a related discipline, science (chemistry/physics) or engineering. The ideal candidate should have some understanding in the area of materials
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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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regenerative tea production system’. About the Role We are looking for a full-time postdoctoral Research Fellow to work on a high-profile project funded under the BBSRC’s Prosperity Partnership programme, a
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will have the option of indicating this in the equal opportunities form that is part of our online application process. We aim to award a number of studentships to applicants coming from
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elements like Physical Unclonable Functions (PUFs) and True Random Number Generators (TRNGs) to secure hardware components. Embedded Trust Protocols: Design protocols that establish and maintain trust within
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mechanical, control or aerospace engineering, physics, mathematics, or other relevant engineering/science degree. The ideal candidate would have experience with computational modelling and control of dynamical
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management. The program will combine desk based and experimental activities that will ultimately establish the most sustainable approach to treatment, recovery and/or disposal of the brines. The successful
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business analysis and process improvement. If you can also add strong stakeholder management skills, then you could be the person we’re looking for. The successful candidate will help Cranfield drive
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on project management. About You You will have a solid background in IT project management and be able to demonstrate competencies in business analysis and process improvement. If you can also add strong
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covers fees and stipend for a home (UK) student with funding provided by the Leverhulme Trust through the Connected Waters Leverhulme Doctoral Programme. Options exist for PhD and Master + PhD routes