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opportunity to work at the intersection of multimodal AI, cancer biology and digital pathology. The successful applicant will have a PhD or MSc with a significant machine learning element and/or experience with
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– from rodents to humans. Please see job description for further details on the project. The candidate must have a PhD in Cognitive/Computational Neuroscience, Experimental Psychology, Human-Computer
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our definition of the field. Application procedure Stage 1: You must submit your completed online programme application for a place on your chosen PhD programme by 1 December 2024. Your
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microbial communities: Microbiome engineering for a Net Zero future”. This project is led by Professor Sophie Nixon at the University of Manchester, in collaboration with the Earlham Institute. In
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Overall Purpose of the Job We are looking for an enthusiastic researcher with a PhD in statistical genetics, genetic analysis, bioinformatics or health data science or equivalent. The successful
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a PhD that includes training in quantitative research methods. You will have experience with handling, cleaning, linking and analysing routinely collected healthcare data. You will be experienced in
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, or be working towards, a PhD or equivalent in environmental modelling, geographical information science, (computational) environmental science, (computational) physical geography, (computational
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as possible, and will focus on large-scale cardiac image analytics. Applicants should hold, or be about to obtain, a PhD (or equivalent) in physics, engineering, computer science or applied mathematics
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The Division of Informatics, Imaging and Data Sciences in the School of Health Sciences wishes to recruit an enthusiastic and innovative individual to the role of Lecturer in Health Data Science to
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Doctoral Training Partnership (NWCDTP) ESRC North West Social Science DTP (NWSSDTP) Your PhD Humanitarianism & Conflict Response Studentship application will be considered based on your programme application