49 programming-"https:"-"FEMTO-ST"-"UCL"-"https:"-"https:"-"https:"-"https:" positions at University of Liverpool
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Research Contracts and working closely with and receiving instructions from the CHI-Zone Programme Manager, you will play an important part in helping the CHI-Zone to accelerate the development and adoption
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required to complete this training programme and sit the ECVN certifying examinations (a recognised qualification in a UK regulated profession). You must have relevant experience in primary care veterinary
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, to support the delivery of our grant programme and publications. We want to hear from individuals with knowledge of immunology and experience in transcriptomics (e.g. single cell transcriptomics, microarray
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This 3 year residency programme is supported by and based in the Philip Leverhulme Equine Hospital (PLEH) at the University of Liverpools Leahurst Campus on The Wirral. You will be appointed as an
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the programme will be overseen by Professor Shakila Thangaratinam and Professor John Allotey, along with senior clinical academics, Dr Andy Sharp and Dr Abi Merriel. The academic training will include
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to university life. You will work a rotating 12-hour shift pattern of 4 on and 4 off (2 days followed by 2 nights, including weekends and Bank Holidays). A comprehensive training programme is provided, including
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the QUASAR Group and the pan-European EuPRAXIA program, the Fellow will lead cutting-edge research in plasma accelerators while shaping and delivering advanced interdisciplinary training for doctoral
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or above, including English and office experience including proving clerical support to management and experience of programme administration. This post will be available until 28 February 2027 with
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Model Development Plan for future in-orbit demonstration. Further information about the Department of Electrical Engineering and Electronics can be found here: The post is part-time at 14 hours per week
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with our industrial and UK university partners, a novel research programme will be implemented based on modelling, control and optimisation of an integrated power and transportation networks. Key