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We are seeking a highly motivated post-doctoral researcher of high calibre to join our research program in the area of integrated silicon photonics. The position is funded by the EPSRC (Engineering
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This research project aims to establish the theoretical and algorithmic foundations of quantum adversarial machine learning, an emerging field at the intersection of quantum computing and machine learning. It
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Flag and is: i) an alert for possible cancer for GPs that appears on primary care blood test results; ii) an accompanying patient management pathway. This post is funded by the NHS Cancer Programme with
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to improve people's health in developing countries by striving for excellence in research, healthcare, and training. Our research program spans basic scientific research, clinical studies, epidemiological
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models for children. College / Directorate College of Engineering, Design & Physical Sciences Department Department of Mechanical and Aerospace Engineering Full Time / Part Time Full Time Position Title
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river system Develop, test and apply algorithms for the processing and analysis of satellite data drawing on the latest physics-based and/or data-driven techniques Contribute to work on the automation and
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, physical sciences, or informatics. They will need to have completed the relevant NHS Practitioner Training Programme and/or NHS Scientist Training Programme, or equivalent, and be currently clinically active
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to data analysis and biological interpretation. Role Summary Develop, implement, and apply advanced reproducible computational tools and workflows to process, analyse, and interpret large-scale LC–MS-based
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Position Details School of Computer Science Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally in the range £36,130 to £45,413 with potential
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their proposed programme necessitates a Leverhulme ECF rather than a project grant or alternative postdoctoral fellowship; and why King’s College London is an appropriate host for them and their research project