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biology, and immunology. The successful candidate will have significant experience in virology, ADCC-mediated control of viral infection, cellular immunology, and antibody engineering. They must show a
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contribute to the diagnosis and options for resolution of medium complexity hardware and software incidents, adhering to defined procedures, resolving incidents at first point of contact where possible. Follow
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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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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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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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, such as MS, ICPMS, NMR, IR, UV, HPLC and GC instruments, including supporting associated IT hardware and software. • To liaise with instrumentation manufacturers, engineers and application
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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