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will deliver projects that leverage large-scale electronic health record data and rich cytometry data derived from full blood count analysers to develop and refine machine learning models to improved
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help supervise BSc, MSci, and PhD students. The successful applicant will have a PhD in Astrophysics, Theoretical Physics, or a related discipline and prior experience relevant to the post. It is also
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haemostatic responses in ageing individuals. About You We seek outstanding, self-motivated, and ambitious junior researchers committed to pursuing a scientific career. Demonstrable knowledge and a PhD (or close
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under real-world conditions. The role includes collaboration with leading 2D materials manufacturers, offering potential for interdisciplinary research and travel. About You You should have a PhD (or be
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migration and in vivo murine models of inflammation and technical expertise in complex flow cytometry is essential. The previous ability to work with rodents would be advantageous, whilst experience in
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involves high level of collaboration with both the QMUL Space Plasma Group and the QMUL Detector Development Group. About You The successful candidate will have a PhD (or equivalent experience) in the field
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develop, synthesise and characterise materials for this project. About You The post is suited to a PhD graduate with a background in materials chemistry or a related discipline. If you have a vivid
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materials-based heterostructures , where the 2D nanosheets will act as transducers for electrical sensing applications. This will generate a knowledge-based platform to allow us to rationally engineer 2D
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(inclusive of London Weighting) based on experience. The successful candidate will be part of the new Centre for Vaccinology and Regenerative Medicine, based on the Hawkshead Campus of the RVC (https
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partners at NHS England and Nuffield Health. About You You will have a PHD (or close to completion) or experience at a comparable level in a relevant subject area. You will have experience of working with