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candidate will have strong analytical skills and substantial experience in machine learning at scale. The Prorok Lab in the Dept. of Computer Science & Technology, has a variety of robotic platforms (aerial
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and Technology (CST) at the University of Cambridge. The goal of this PhD programme is to launch one "deceptive by design" project that combines the perspectives of human-computer interaction (HCI) and
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participants Ideally, practical skills in one of (a) programming, (b) machine learning, and/or (c) design Responsibilities Developing and conducting novel research projects individually and on teams Developing a
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learning and AI models to imaging data [3]. The student will be tasked with the development of new models for the early detection of CIN cancers, applying bleeding edge computational methods and machine
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Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country United Kingdom Application Deadline 15 Sep 2025 - 23:59 (Europe/London) Type of Contract Temporary Job Status Full-time Offer
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.html and here https://www.eng.cam.ac.uk/news/engineering-better-car-experience . Four years of full funding is provided by the UK's Engineering and Physical Sciences Research Council (EPSRC) and JLR
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, Sweden) and Dr Andreas Dannhorn (Associate Director, Integrated Bioanalysis, Cambridge, UK). Project Heart failure with preserved ejection fraction (HFpEF) is a common, under-recognised condition strongly
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-repair function in the exocrine pancreas. BioRxiv (doi.org/10.1101/2024.02.15.580302). (in revision) Schuijs MJ, Png S, Richard AC, Tsyben A, Hamm G, Stockis J, Garcia C, Pinaud S, Nicholls A, Romero-Ros X
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., Harish S., Brais R., Ashworth S., Luo W., Johnson P.M., Veghini L., Vallespinos M., Corbo V., Biffi G. SMAD4 and KRAS status shape malignant-stromal crosstalk in pancreatic cancer. Cancer Res (2025). 2
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development activities such as appropriate professional activities while in the role. This is an excellent opportunity for someone enthusiastic about learning new techniques, proactive in research and self