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and develop software which enhances the learning experience. Grow your professional skills using C#, JavaScript, continuous integration and automated deployment and get experience and training with
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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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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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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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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
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stakeholders, assisting with everything from device configuration and software setup to account access and hardware diagnostics. While your main base will be Highfield, you may be asked to support outreach
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role will continue to establish and grow The Pre-hospital Research and Audit Network (PRANA). PRANA is creating an end to end research ready database. Currently there is no method for undertaking
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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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students. All cohorts have now been recruited and are in the delivery phase of their PhDs until 2027. PhD projects are AI-focussed with a mix of hardware and software, focussing on the areas of Agent-based