90 software-formal-method-phd Fellowship research jobs at UNIVERSITY OF SOUTHAMPTON in United Kingdom
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the next generation of gas turbine engines. Successful candidates will have a PhD or equivalent in a relevant discipline and experience in the development of machine/deep learning (ML/DL) methods
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methods to integrate multimodal health data, supporting personalised predictions and decision-making in healthcare. You will work under the direction of the Principal Investigator, Dr Rahman Attar, and
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diagnostic methods for heavy menstrual bleeding. They will work closely with clinicians, research nurses, and study participants to integrate laboratory and clinical aspects of the project. Responsibilities
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. You will hold a PhD or equivalent professional qualifications and experience in aeronautical or mechanical or software engineering, physics, or in computer science/numerical analysis. About the
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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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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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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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. 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
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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