21 parallel-processing-bioinformatics-"Multiple" PhD research jobs at University of Cambridge
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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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Natural Language Processing (NLP) in the areas of culturally aware NLP or multilingual conversational NLP, and integration of such methods to support language technology in multiple languages
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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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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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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
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structural variation, and resistance mechanisms through large-scale genomic profiling. Recent work has identified therapeutically relevant copy number signatures associated with particular mutational processes
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at khs29@cam.ac.uk for queries about the application process Please quote reference NM46266 on your application and in any correspondence about this vacancy. The University actively supports equality
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to the application process. Please quote reference NM46253 on your application and in any correspondence about this vacancy. The University actively supports equality, diversity and inclusion and encourages