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Field
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Academy of Engineering Green Future Fellowship, the postholder will design and integrate automated experimental workflows and data pipelines to accelerate the discovery and optimisation of OPV devices
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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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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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Academy of Engineering Green Future Fellowship, the postholder will design and integrate automated experimental workflows and data pipelines to accelerate the discovery and optimisation of OPV devices
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delivery of research proposals in accordance with the Centre¿s social justice methodology; managing ethical review processes; developing and applying creative approaches; qualitative/quantitative data
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the Faculty of Science and Engineering. While it is built around the core disciplines of Physics, Astronomy, and Chemistry, it also incorporates data science, reflecting a growing emphasis on computational and
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these and to deduce fluxes of heat and material across the MTZ. The post holders will be responsible for compiling seismic data sets (focusing on surface-wave overtones and body-wave data including precursors
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across the MTZ. The post holders will be responsible for compiling seismic data sets (focusing on surface-wave overtones and body-wave data including precursors), computing sensitivity kernels and applying
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interest in materials science or bioengineering, a track record of research output appropriate to career stage; a proficiency in data collection and literature reviews, strong empirical research skills; and
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under the supervision of the PI, translating complex oral histories and archival data into interactive spatial narratives. Undertake the technical development and implementation of an immersive 3D