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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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environment. The post will be based at the University of Southampton Waterfront Campus. The role and about you You will support academic staff, PhD students and undergraduate students within the Physical
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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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. The application of fibre-drawing methods in battery manufacturing is disruptive, placing this research at the forefront of innovation. The project involves a multidisciplinary team with researchers from
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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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-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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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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with internal and external stakeholders to deliver engaging life cycle events Monitor budgets and contribute to strategic planning and resource forecasting Handle formal complaints and appeals with
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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