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data using finance software. Monitor communications channels such as social media and web pages. Work with relevant colleagues to coordinate and update communications content such as social media posts
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topics. Experience developing software in a scientific computing context, ideally using Python/Pytorch/R, including the use of established libraries used in data science and artificial intelligence
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role. Extensive previous practical knowledge of Microsoft 365 software for editing documents, filing, sharing files, and setting up meetings. An ability or willingness to set up other standard office
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will report directly to a Board member and will be responsible for a number of teams led by team mangers spanning several technology or functional areas. You will need to establish and deliver a clear
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knowledge in data handling, methods and technology in WISERD to support the development of the WISERD Data Portal, web-based dashboards and data-based services and to support knowledge exchange activities in
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well as experience in using software used for the analysis of genomic data such as Plink, GCTA, FUMA, SuSi, GATK (Genome Analysis Toolkit), SuSiE (Sum of Single Effects), AlphaGenome. Knowledge of current research in
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or more of the following research fields: Quantitative finance Neural Networks Financial Engineering and Risk modelling Wealth management, payment and lending AI/Machine Learning applications in financial
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Desirable Criteria 11. Postgraduate/Professional qualification 12. Experience in immunohistochemistry, confocal imaging, Imaris software image analysis and transmission electron microscopy 13
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other low or extra low voltage equipment. To be able to trace faults on control panels and associated equipment, working with Building Services Engineers to rectify faults. Comply with all relevant health
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to: Responsible for analysing user and institutional needs, designing and improving digital systems and processes, and ensuring effective delivery of technology solutions that support students, academic staff, and