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of conducting and analysing semi-structured interviews with protection seekers and/or other marginalised communities. The successful candidate will play a full role in the design, execution, and dissemination
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analysing semi-structured interviews with protection seekers and/or other marginalised communities. The successful candidate will play a full role in the design, execution, and dissemination of the project
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on the Vector Observatory project (https://www.malariagen.net/vobs/ ). Malaria continues to pose a major global health challenge, and mosquito vectors are central to transmission. The project addresses three
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fidelity of implementation of the co-designed intervention and explore mechanisms of impact and contextual factors associated with variation in outcome. Normalisation Process Theory will be used to structure
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machine learning methods to model changes in the brain over the lifespan, including brain structure and function, and how those changes relate to environment and genomics. What We Offer As an employer, we
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the mechanism of co-transcriptional splicing. The project aims to understand the mechanism of crosstalk between the transcription and splicing machineries using a combined biochemical and structural approach with
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machine learning methods to model changes in the brain over the lifespan, including brain structure and function, and how those changes relate to environment and genomics. About the Role The post is funded
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structure theory, or simulation of electronic spectra. Experience with f-element chemistry, X-ray spectroscopy (theoretical or experimental) and/or method development in quantum chemistry would also be
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computational methods for analysis and interpretation of large-scale biological datasets. Experiences in structural homology modelling is not essential but would be advantageous. The post holder will work in a
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, Future Energy Systems and Advanced Materials, Electronics and Communications) and eight Research Nodes which group staff under technical expertise and interest (see https://www.durham.ac.uk/departments