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of Manchester and Imperial College. This role involves computational modelling and experimental data analysis, integrating mathematical models of clock neurons and populations with in-vitro and in-vivo
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major external funder, including coordination of supporting documentation, budgeting information, and regulatory materials. The post holder will not have line management responsibilities but will work
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uncertainty. This post is fixed-term and part time (20hours per week) until 30 September 2026 You will hold a relevant Bachelors or Master’s degree in statistics, computer science, information engineering, or
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and to view further information about the role, please click 'Apply' above. Please notice that if you have not received any news from us 1 month after the closing date you should consider
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Medical Research Institute (SAHMRI). This is an excellent opportunity for an individual eager to develop expertise in big data analytics, expand their methodological skillset, and contribute to impactful
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information and advice to other group members and contribute to the preparation of scientific reports and journal articles. You will also occasionally present papers and posters. About You • You must hold PhD
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modelling of the impact of precipitation on mm wave fixed radio links from the high-end weather station installed at Durham University and measurement data. The successful candidate will be working in
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data and willingness to develop skills in statistical or multivariate analysis are essential. The postholder will work collaboratively with Prof Jesmond Dalli, Prof Ghassan Alusi, Dr Adrian Biddle and
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) for more information about the project’s rationale and recent outputs. Role Summary The successful candidate will design and drive a high-level strategy to position DAWN’s findings on deep uncertainty in
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, utilising big data, developing digital health interventions and working internationally. We have methodological expertise in clinical trial design and implementation, clinical decision making and diagnostics