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computational analyses of epigenomic/transcriptomic data and machine learning. Experience in single-cell omics data is desirable. The post holder will be responsible to develop pipelines for the analysis
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Maintaining accurate and organised records of animal studies and ensure data is captured in lab databases Complying with all regulatory requirements including Home Office licences, local AWERB oversight, and
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specialist knowledge in a relevant subject area. With knowledge of statistics and ability to use statistical packages for analysing data, you will have excellent communication skills and the ability to work co
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specialist knowledge in a relevant subject area. With knowledge of statistics and ability to use statistical packages for analysing data, you will have excellent communication skills and the ability to work co
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, building the experimental apparatus, conducting the experiments, analysing the data, and producing the manuscripts for publication (as first author), as well as disseminating the results of the project
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defending the cultural value of knowledge for its own sake. You will also possess computational expertise in data mining and / or analysis, ideally including language processing, and be able to work with an
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with senior collaborators at the University of Cambridge and University College Dublin/London, your duties will include recruiting and liaising with schools, delivering teacher training, supporting data
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becomes essential. This project will focus on building a comprehensive digital twin of a future quantum computer to investigate how classical subsystems scale and interact, and how this scaling impacts
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. The successful applicant will be able to work collaboratively, present information on research and outcomes, communicate complex information, orally, in writing and electronically and prepare proposals
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will plan and conduct experiments, generate high-quality data, prepare publications, make presentations and help supervise associated PhD students. The successful candidates will join large, supportive