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improve the clinical outcome and help prognose inflammatory bowel disease stages for patient risk stratification. The selected candidate will work with endoscopic and whole-slide imaging (WSI) data
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improve the clinical outcome and help prognose inflammatory bowel disease stages for patient risk stratification. The selected candidate will work with endoscopic and whole-slide imaging (WSI) data
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Are you interested in astrophysics, and how advanced computational methods can be used to investigate the dynamics of objects ranging from neutron stars to exoplanets? Would you like to feel part of
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. The project is funded by a Science & Technology Facilities Council grant to Professors Adrian Barker and Rainer Hollerbach , and consists of two options: You could work with Professor Hollerbach, and
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Professor Carl Thompson, you will lead and deliver our SENSITISE research project, helping develop it into a longer programme of work and helping disseminate our research findings in imaginative and impactful
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dates can be negotiated. You will have a PhD in a relevant discipline (e.g. Astrophysics, Applied Mathematics, or Planetary Sciences), together with experience in large-scale computing. You will also have
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arrangements To explore the post further or for any queries you may have, please contact: Prof. Jie Xu , Professor in School of Computing Tel: +44 (0)113 343 5193 Email: J.Xu@leeds.ac.uk Please note that this
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position will support this established research programme with HF engineering, HF antenna modelling, design and fabrication. Next-generation OTHR systems are increasing the ability to detect and track
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Do you have expertise in preference elicitation, choice modelling, discrete choice surveys? Passionate about technology in health and social care? Want to work with world-leading implementation and
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for it to be undertaken in a hybrid manner. We are also open to discussing flexible working arrangements. Are you interested in using your facilitation and qualitative data analysis skills on a project