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to the launch of the Bloomberg Cambridge University Corporate Bond Index later in 2025 and the delivery of the ongoing research programme related to the index project. The successful candidate will undertake desk
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of Edinburgh and Glasgow, with expertise across computer science, wearable computing, AI and criminology. Our programme of research utilises both experimental and literature-based approaches to explore
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Mobility Reading Group led by Nobuko Yoshida. The successful candidate will be located in the Department of Computer Science Reporting to Professor Nobuko Yoshida, the post holder will be responsible
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recently funded 5-year programme of antifungal drug discovery at the MRC Centre for Medical Mycology. This exciting new programme connects MRC CMM researchers with drug discovery experts and scientists from
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the Project PI. ii. Meeting the deliverables by carrying out the computational simulations and experimental studies planned for under the scope of work of the projects within the timeframe to meet the
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exploring the limit of detection of transcutaneous and deep tissue imaging. The project is part of a major EPSRC-funded initiative, the Ubiquitous Optical Healthcare Technologies (UbOHTs) Programme Grant
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Machine Learning, Statistics, Computer Science or closely related discipline. They will demonstrate an ability to publish, including the ability to produce high-quality academic writing. They will have the
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) in joint homeostasis. The successful candidate will work in close association with other lab-based scientists and computational biologists in the Croft lab as well as collaborators in Great Ormond
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the project and the Programme team Contribute to writing bids for research funding Contribute to Departmental/School research-related activities and research-related administration Contribute to enterprise
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support a high-value materials characterisation programme as a postdoctoral researcher. The ability to think outside the box with creativity, along with having the drive and ambition to develop those ideas