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signal simulation frameworks for BSL gestures. Process skeletal motion data to drive simulation pipelines. Conduct radar experiments to calibrate and benchmark simulation outputs. Write academic papers
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record, and leadership. A PhD in a health-related discipline is essential; a PhD in Psychology would be an advantage, and understanding of qualitative approaches will be useful. You will have excellent
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considered from candidates who are working towards or nearing completion of a relevant PhD qualification. The title of Research Fellow will be applied upon successful completion of the PhD. Prior
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requirements We are looking for a candidate who meets the following essential criteria: A PhD (or be close to completion*) in Biotechnology, Engineering, Microbiology, or a related field or equivalent experience
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experience in deep learning, as well as: Demonstrable experience with the development of novel model architectures for deep learning applied to audio data; In-depth knowledge of deep learning, including recent
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the new technology works and compares with existing drugs with the aim of improving cancer treatments. You will be motivated, educated to PhD level in a relevant subject area and ideally have practical
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experience of a large, multi-work package programme of multidisciplinary work focussing on the ageing population in sub-Saharan Africa. A PhD is essential, and the successful applicant will have demonstrated a
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should have required qualifications and experience Education: PhD in Biomedical Engineering, Electronic Engineering, Mechanical Engineering, Materials Science, or related disciplines with a strong academic
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partners that aspire to develop the next generation of inverter control. It is essential to have a PhD* or equivalent professional qualifications in Electrical/Power Systems, and especially in the areas
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an impact, apply to join our team! Applications for Research Fellow positions will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification. The title