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the lunar farside. The successful candidate will contribute to the development and scientific programme of the Lunar Farside Technosignature and Transients Telescope (LFT3; https://lft3.space). Lunar Farside
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statistical and machine learning methods, particularly for high-dimensional or longitudinal data. Demonstrable experience in research software development using R or Python and a track record of contributing
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technician is an integral part of the AV/IT Department, contributing to the delivery and development of the School's AV service portfolio. The position involves two main aspects: providing outstanding AV
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while guiding long-term planning, equipment investment, and laboratory development. You will coordinate laboratory usage and experiment scheduling, support researchers and students in developing and
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practices in software development and reproducible research. This is an exciting opportunity to join a growing team and work as an RSE on a diverse selection of world-leading and impactful projects. Some of
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candidate information pack and to apply, please visit https://richmond-associates.com/job/uox-senior-development-executive-mpls/ or contact them on info@richmond-associates.com or +44 (0)20 3617 9240
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excellent opportunity to gain practical experience and training. For more information, please visit: https://www.apprenticeships.ox.ac.uk About you You will be passionate about starting your career in
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clinically translatable and to support drug development. About You You must hold, or be close to completion of, a PhD in Immunology. Previous experience in MS research is not required, but experience with
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of sediments in weathering and the carbon cycle, sedimentary biogeochemical cycles, renewable energy and the green economy, source-to-sink studies, landscape evolution, modern and ancient carbonate depositional
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to apply, please visit https://richmond-associates.com/job/uox-senior-development-executive-economics or contact them on info@richmond-associates.com or +44 (0)20 3617 9240. Closing date