16 phd-data-maining-"Computer-Vision-Center" Postdoctoral positions at DURHAM UNIVERSITY
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thereafter. Key responsibilities: To conduct collaborative research to meet the objectives of the project under the direction of the Principal Investigator. To conduct primary data collection on drill-cores
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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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audiences. To publish high quality outputs, including papers for submission to peer reviewed journals and papers for presentation at conferences and workshops under the direction of the Principal Investigator
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Prof Oswald. The successful candidate will have the opportunity to closely work with the team of Dr Ordean and Dr Jackson (both University of Birmingham) as the main academic project partner. Key
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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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applicant will work on the project alongside Prof. Cheryl McEwan (Principal Investigator, Department of Geography, Durham University). The primary duties will be to contribute to the development
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to RVF interface with an epidemiological transition of RVF from a disease of concern only during epidemics to one experienced as an endemic disease. The primary sites of ethnographic fieldwork will be in
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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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candidates. Key responsibilities To conduct a research project under the direction of the Principal Investigator (PI, Dr Allegra Franchino) and her collaborator (Dr Paolo Ronchi, Chiesi), working productively