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and public audiences. You may be a great fit if you: Hold a PhD in computational biology, bioinformatics, biology, computer science, or related quantitative discipline. Bring at least two years
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. Further funding to support the post may be available. About you Applicants should have a PhD (awarded or imminent) in Electronic/Electrical Engineering, Biomedical Engineering or a closely related
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science, mass spectrometry and/or immunoassay), a PhD in a relevant scientific subject with considerable analytical chemistry content Demonstrable expertise at post-doctoral level of working in
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Job id: 159566. Salary: Doctor in Training ST 5. Posted: 25 September 2026. Closing date: 04 October 2026. Business unit: Faculty of Life Sciences & Medicine. Department: Comprehensive Cancer
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, such as computer science, neuroscience, engineering, physics, applied mathematics (or be near to completion of their PhD). Skills in computer programming (especially Python or C++ or Matlab) and
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, research and innovation and technology and knowledge transfer. - THE ROLE - The postholder will lead on survey design and the development and validation of questions, and they will have responsibility
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clearly demonstrate that you meet the following essential criteria: First or Upper Second Class Honours Degree in a relevant discipline such as public health, geography, economics, urban planning. A PhD in
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, such as computer science, neuroscience, engineering, physics, applied mathematics (or be near to completion of their PhD). Skills in computer programming (especially Python or C++ or Matlab) and
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applicants are normally expected to be within 5 years of completing their PhD, although career breaks for parental leave and/or health reasons will be considered. This is because the roles are aimed at early
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wider applicability across transport, energy, manufacturing and other complex engineering systems. About You You will have a Doctorate degree or equivalent (PhD/EngD), or be close to completion, in a