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Applications are invited for a PhD studentship on the project EQUATE - a project that investigates how Natural Language Processing (NLP) could be made globally more equitable. This UKRI Frontier
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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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transposable element biology. They should be able to develop and apply at scale bioinformatic tools that identify and classify transposable elements, and the variation they create. Solid experience in
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Nanopore sequencing, ChIP-seq, and Hi-C, to probe plant genomes and centromeres. The project will involve both wet-lab based functional genomics approaches, together with dry-lab based bioinformatics
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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 bioinformatics and genetics would also be considered. For genetics-focussed candidates, subject knowledge in obesity/metabolism is welcome, but not essential. For molecular biology candidates
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discovery process, leading to more economic and effective drugs that can significantly improve the health and lifestyle of millions. The resulting methods are also expected to have an impact in materials
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participate in a chalk talk to present their research plans. This process is designed to ensure a transparent, inclusive, and fair selection. We are seeking two early-career investigators with an outstanding
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Applications are invited for two Research Assistant / Research Associate posts on the project EQUATE - a project that investigates how Natural Language Processing (NLP) could be made globally more
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holder will be required to have practical experience in high-density microelectrode pattern on soft substrates with good understanding of advanced microfabrication processes, electrode substrate