26 postdoc-parallel-computing PhD positions at University of Cambridge in United Kingdom
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replacement) project on Limits of Symmetric Computation. The position would suit a candidate seeking to obtain a PhD at the Department. The project seeks to investigate lower bounds on symmetric computation in
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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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the cerebral cortex. fUS ultrasound waves are similar to CUS but using novel image reconstruction techniques and parallel computing technologies reaching 10,000 frames per second, enables very sensitive mapping
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) in PhD/postdoc/job; has a good publishing track record, and has the ability to work in a team and with collaborators. The experience of system and component level testing in optical systems is an
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interested in improving our understanding and mitigating the environmental impacts of data centres and artificial intelligence. Primary role will be to lead projects improving how computing environmental
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or sensor arrays. Experience generating, processing and analysing large material property datasets including correlating between multiple techniques, or developing computational reconstruction techniques
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quantitative methods, prevention science and intervention studies. The postholder is expected to work collaboratively with other programme members spanning multiple academic and professional practice disciplines
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of mutation burden and cancer driver mutation (CDM) dynamics in response to carcinogenic exposure. By integrating new computational and experimental approaches (e.g. Laser capture microdissection and ecNGS
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animals, while Prof Durbin's works on computational genomics and large scale genome science, including the development of new algorithms and statistical methods to study genome evolution. Moving forward
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). The FIBE3 CDT aims to lead a transformation to net zero infrastructure through industry partner co-creation and co-delivery of an inspirational doctoral training programme for cohorts of emerging talents from