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opportunity for an enthusiastic and motivated postdoctoral Computational Biologist to contribute to multimodal data integration as part of a translational genomics programme within the group led by Professor
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support oncology staff to engage with, communicate and act on mainstreaming genomic testing information. This review will lead to evidence based recommendations and targeted outputs which may generate
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dependent on factors specific to the candidate and if tradeable points can be used under the rules. Information on other visa options is available at www.gov.uk/check-uk-visa . Please do not hesitate to
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(STFC, Daresbury), Prof. Jonathan Tennyson (University College London) and Prof Michael Charlton (Swansea). The Research Fellow will work on the development of methods and computer programs adapted
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and coordinate a team of international researchers; and (iii) enable open sharing of data, evidence, and policy tools among researchers, policymakers, and civil society organisations. The Fellow will
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expertise in undertaking research to improve what we know globally about the prevalence and nature of CSEA, and bring experience of working with different types of data, including administrative data [such as
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of the project covers the 13 OECD countries over an 18-month period (1 January 2020-30 June 2021). The work will consist of: gathering and compiling data on central and regional government policies in the fields
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support oncology staff to engage with, communicate and act on mainstreaming genomic testing information. This review will lead to evidence based recommendations and targeted outputs which may generate
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investigates how the unique capabilities of quantum computing can be leveraged to accelerate learning from both classical and quantum data. The project will develop rigorous theoretical frameworks to understand
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specialism), the post-holder will contribute to achieving research objectives by gathering and analysing qualitative and quantitative data, undertaking project management and administration related activities