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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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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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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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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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will be based at the Institute for Medical Humanities, working closely with Dr Arya Thampuran (Narrative Practices Lab). They will be expected to lead data collection, manage the day-to-day running of
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, "INFORMED-AI" hub. More details can be found about the INFORMED-AI hub at. The post is fixed term for 24 months with the start data as May 1st , 2026, and the end as April 30th , 2028. The successful
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ultracold gases, including the setup and alignment of magneto-optical traps, optical trapping and optical lattices, internal state control with RF and microwave fields and advanced data acquisition techniques