130 software-formal-method-phd positions at UNIVERSITY OF SOUTHAMPTON in United Kingdom
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testing. They will hold a PhD in the field of machine learning and prediction/decision modelling or related discipline. Applicants are expected to hold or achieve Advance HE Associate Fellowship
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experimental results. Keep detailed logs for pseudovirus and glycoprotein samples. Collaboration: Work closely with postdoctoral researchers, PhD students, and technical staff. Provide technical support across
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-managing health conditions, and of contributing to the process evaluation of randomised controlled trials in health research, including qualitative and public involvement methods. Applicants will ideally
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design and aviation in general. You will hold a PhD or equivalent professional qualifications and experience in aeronautical or mechanical or software engineering, physics, or in computer science/numerical
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physiological data, as well as with prior experience in participant recruitment and/or experimental testing. They will hold a PhD in the field of machine learning and prediction/decision modelling or related
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involvement methods. Applicants will ideally have some knowledge of theories and frameworks relevant to implementation science (e.g. Normalisation Process Theory, CFIR). Your knowledge and experience will
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Management: Document procedures, sample inventories, and experimental results. Keep detailed logs for pseudovirus and glycoprotein samples. Collaboration: Work closely with postdoctoral researchers, PhD
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development and implementation of methods for improving small area modelled human population estimates. The successful candidate is expected to have strong quantitative skills and experience of working with
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that integrates glycoproteomics, glycomics, and immunological data. The role involves developing novel methods for immunogen glycosylation and establishing new experimental pipelines. You’ll publish in leading
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. The position offers the opportunity to shape core analytical methods used across CD3 and to contribute to one of the largest coordinated efforts in the UK to transform early cancer detection through data