616 web-programmer-developer-"https:"-"https:"-"University-of-Cambridge" PhD positions in United Kingdom
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. An optimisation tool has been developed that uses a genetic algorithm to optimise the location of BGI taking surface water flood risk reduction and the cost of different interventions into consideration. This PhD
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, introduces human error, and creates line-of-sight occlusions, disrupting surgical workflow. This interdisciplinary project aims to overcome these challenges by developing a vision-based marker-less navigation
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providing world-class professional development and networking opportunities that strengthen both research outcomes and student success. The Engineering and Mathematics group is part of the School
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providing world-class professional development and networking opportunities that strengthen both research outcomes and student success. The Applied Informatics group is part of the School of Computing
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other clinical partners, the new evidence will be rapidly translated to improve local and national prehabilitation programmes that maximise patient engagement and outcomes. Project aims and objectives Aim
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industry partners. Creative Bridges will train PhD students in the latest knowledge, methods and skills to help make the UK screen industries more diverse and more sustainable. We are offering six
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The PhD studentship will broadly explore development of cutting-edge AI solutions for image registration, anatomy segmentation, and immersive technology. The selected candidate will work with preoperative
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skills are also highly desirable: Ability to program in Matlab, python or similar Strong laboratory-based skills Application Procedure Informal enquiries are encouraged and should be addressed to Prof
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respond over time (e.g. changing shape), controlled by the arrangement of differential materials within them. The goal of this project will be to develop responsive 4D-printed biomaterial devices for drug
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railway earthworks. Additionally, the project will integrate environmental data through data fusion and develop automated machine learning tools for anomaly detection and risk assessment. The effectiveness