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the Medical Research Council. The Research Fellow will be using Natural Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of
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will lead the design, development, and validation of LinguaRadar – a first-of-its-kind radar simulator for sign language gestures. Your work will involve integrating animation pipelines (e.g., OpenPose
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, neuroimaging, neurophysiology, proteomics, transcriptomics, epigenomics, metabolomics, bioinformatics, cell models and animal models. First in man and Phase 2, 3 and 4 clinical trials are also strongly supported
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. Literature review of technologies and commercial market scanning. Modelling, simulation and data management. Design and analysis of hardware and software. Coding, debugging, and troubleshooting. Testing
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evaluation, and hybrid powertrain integration. Analyse vehicle test data, support optimisation of simulation models, and contribute to technical publications and reports. Involve working closely with
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will lead the design, development, and validation of LinguaRadar – a first-of-its-kind radar simulator for sign language gestures. Your work will involve integrating animation pipelines (e.g., OpenPose
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. Literature review of technologies and commercial market scanning. Modelling, simulation and data management. Design and analysis of hardware and software. Coding, debugging, and troubleshooting. Testing
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, delivering impactful oral presentations. Collaborate with external stakeholders and partners on cross-disciplinary projects. Simulation and Modelling: Lead the development of high-fidelity multiphysics models
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experience in numerical modelling and analysis, particularly in optimisation and/or complex mechanical systems simulation, as well as having a solid understanding of aircraft design and aviation in general
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, neuroimaging, neurophysiology, proteomics, transcriptomics, epigenomics, metabolomics, bioinformatics, cell models and animal models. First in man and Phase 2, 3 and 4 clinical trials are also strongly supported