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The Role The role focuses on advancing research in explainable and trustworthy machine learning, with a particular emphasis on mechanistic interpretability and its application to healthcare data
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a PhD in Physical Sciences or a closely related field, and you will have a background in crystallisation and solid state characterisation. Knowledge of databases, and python coding is a must. The key
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industrial partner WLL. Experience conducting quantitative research including fracture data collection, management, and analysis is essential. Excellent initiative, flexibility in work style, communication
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Fever (RVF) transmission in distinct African regions'. This large, multi-disciplinary project brings together a team of researchers seeking to challenge the current view of RVFV as an epidemic disease. We
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practices. Durham University is committed to the Concordat to support the career development of researchers. For further information please visit the Research Staff web pages on The Role Applications
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laser systems), analyse and interpret data, and prepare outputs in the form of manuscripts and presentations at scientific conferences.
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project is supported by a British Academy Global Professorship awarded to Sian Halcrow. The aims of the project are Assay a wide range of collections, establishing information on acquisition and origin
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20 Jan 2026 Job Information Organisation/Company DURHAM UNIVERSITY Research Field Engineering Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application Deadline 30 Jan
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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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23 Jan 2026 Job Information Organisation/Company DURHAM UNIVERSITY Research Field Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application Deadline 11