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involve the development of new data, techniques, and evaluations. The successful candidate will also take part in dissemination of research findings. The student will work as part of the interdisciplinary
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June 2025 or as early as possible thereafter. This is an exciting opportunity for an enthusiastic Astronomical Data Scientist to work within the Cambridge Centre of Excellence in Astronomical Data
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developing cutting-edge computer vision and deep learning aimed at optimising inspection and monitoring of infrastructure. Applying these advanced technologies to real-world infrastructure challenges through
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from newborn infants with acute brain injury. The project will involve working with scientists and clinicians to obtain data from the cotside of both healthy and preterm infants as well as infants
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tumour samples with IDH mutations. The project will involve working with scientsts and clinicians to obtain data from the operating theatre from patients with brain tumours. This project will be based in
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cover the University Composition Fee (tuition fees) and maintenance at the home fee rate. Applications from international students are welcome. Whilst we endeavour, where possible, to award full
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balance priorities to deliver results *Interests in research on research, organisational culture, human resources and employment data. If you have any questions about this role, please contact Steven