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experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally efficient deep learning Deep learning model generalisation techniques. Translating deep learning models
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responsible for the development and implementation of a case study in a US or European city (to be confirmed), using ethnographic and qualitative case study methods under a cross-cultural research design
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We are recruiting a postdoctoral research scientist to lead virus evolution and bioinformatic data analysis for our program on wastewater surveillance for pandemic pathogens. The world has never
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programme. The particular emphasis of the project will be to examine the interaction between atherosclerotic plaque macrophages and neutrophil extracellular traps and how it impacts cellular function and
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, which include a short book on creative and curatorial methods, a digital festival and a digital archive. Assisting the Project Leader with management and administrative tasks, including creating website
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experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally efficient deep learning Deep learning model generalisation techniques. Translating deep learning models
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collective action projects (Southeast Rivers Trust and the Wye and Usk Foundation), and the North Essex Farm Cluster. Methods include Rapid Evidence and Qualitative Assessment; participatory and grounded place
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with in vitro and intracellular persister assays, including CFU/survival-based methods and macrophage infection models, with a demonstrable publication record on Salmonella Typhimurium antibiotic
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-legal Studies, Science and Technology Studies (completed, or to be completed before post start date), or a cognate field. Experience of qualitative archival or interview-based research methods in a
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their relationship with treatment responses and disease activity. This is an excellent opportunity to contribute to a collaborative research program dedicated to improving our understanding of ALS and informing future