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at a world-leading institution and be part of our mission to advance science for humanity. Build your profile in the international research community by becoming an active part of one of the leading
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Engineering, Biomedical Engineering, Medical Imaging, Signal Processing, Applied Physics, Computer Engineering, or a closely related discipline. Strong background in at least one of the following: ultrasound
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up to September 2031. About the Team This Research Project is being delivered within the School of Geography and Natural Sciences, part of the Faculty of Science and Environment. You will join
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resistance in cancer. The post offers a rare opportunity to contribute to a highly translational initiative operating at the interface of discovery science and patient care. The successful candidate will play
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health economics or in a discipline in a related area of professional practice. Experience and skills relevant to this project e.g. experience of data analyses in epidemiological studies with relevance
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and administrative activities, gathering and analysing data from various sources, and contributing to research publications and reviews. You will hold a relevant master’s degree (or be close to
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as Computer Science, Data Science, Transport Engineering, Maritime, Engineering, Applied Statistics, or Logistics. We particularly welcome candidates with experience in: 1) DT technology, ontology
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nanopore- and optical-based platforms to study biomolecular processes at the single-molecule level, with a focus on proteins in native environments. You will take a hands-on role in experimental design, data
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to build ‘design-build-test-learn’ pipeline through computational design and experimental validation. About you PhD (or in the final stages of PhD submission) in computational biology, evolutionary genomics
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King’s College Cambridge invites applications for two Research Fellowships from scholars in the arts, humanities and social sciences who – whatever their current or previous research – are intrigued