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, or lifestyle industries. Experience gained through industry practice, vocational training, or formal qualifications. Strong teamwork, communication, and organisational skills. Ability to plan and manage
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with the needs of the research community. Applicants must hold a PhD or equivalent professional qualifications in a STEM subject, or have extensive experience working in a laboratory or research data
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different sources Share data, software and models including experimental and simulation data Deploy close-to-data computation and containerisation of data and software Use AI to explore data Make the results
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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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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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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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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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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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-holder will have the responsibility for communicating complex information effectively to clinical scientists and non-statisticians. You will have an MSc or PhD in Statistics, and experience or an interest