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The University of Southampton is a world-leading institution for aircraft noise research, home to the Rolls-Royce University Technology Centre in Gas Turbine Noise at the Institute of Sound and Vibration Research (ISVR). Advanced Air Mobility (AAM) presents an opportunity to revolutionize public...
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About the role You will contribute to breathlessness research within the Division of Respiratory Sciences, specifically supporting the Artificial Intelligence assisted earlier Respiratory Evaluation (AIRE) study. The AIRE study aims to combine state-of-the-art language engineering techniques and...
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should be centred on fertility and reproduction, with a clearly demographic approach. They should present a clear and realistic work plan for this short-term role. The Department of Demography
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channel research including biophysical, physiologial and pathophysiological knowledge to work our established research programmes. You should also be able to demonstrate your ability to manage your own
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to work with Bath colleagues engaged in energy research across the University, including advanced mathematics, statistics, and computer sciences Further information This role is offered on a full time (36.5
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Candidate For this role, we require a talented researcher to undertake both experimental and model research work. Working knowledge of tablet design, imaging data collection and analysis, computer modelling
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Job description Ranked the #1 UK Modern University for Engineering and Computer Science (GUG 2025), Edinburgh Napier University leads innovation in a rapidly changing world through future-ready
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motivated and ambitious PhD candidate skilled in genetic epidemiology, biostatistics, mathematics computational biology or related discipline to contribute to the “Hereditary & Early onset breast cancer
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experience in microbiome research sequencing is preferred. Experience with statistical analysis and data visualization, and with using a computational cluster including job scheduling is required. A strong
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of the Department. The research activities of the department fall under eight broad headings, though there is much overlap in practice: Information Engineering (Robotics, Computer Vision and Machine Learning