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, including seeking opportunities for mutual learning and training. The successful applicant will have a track record of relevant research experience, excellent communication skills, and an ability to work both
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/rehabilitation applications. It is expected that the application has the knowledge of: 1) deep learning, large AI models, large language models; 2) the rendering techniques for generating human body animations
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addition to this there are discretionary “Wellbeing Days”. Membership of the Pension Scheme is available. The post is based in London at LSHTM. Applications should be made on-line by clicking the 'Apply' button, above. Online applications
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conduct original, foundational and applied research on the application of Quantum timing devices to networked radar systems and to evaluate their feasibility and performance limits through a combination of
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weeks 0 to 9 of the University term Applicants must demonstrate: an outstanding level of academic achievement, appropriate to the stage of their career, with evidence of, and potential for, producing
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you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information. This is a 4 year fixed term post. Fixed term contract
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of engaged research initiatives and of developing structures and systems in line with stakeholder requirements To be successful at shortlisting stage, please ensure you clearly evidence in your application how
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activities are required. Knowledge of aerospace aerodynamics, compressible flow, as well as engineering programming is essential. Experience in aerospace CFD aerodynamics, optimisation methods, high
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immediately for a fixed term of 18 months, with potential opportunity for renewal based on the performance. The successful applicant will contribute to the project UrbaQuantum to develop hydraulic and water
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-makers of tomorrow. Through a bespoke training and mentoring programme, Fellowships will provide successful candidates with the opportunity to excel as an excellent self-directed researcher, develop