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research is essential, and experience working with electronic health records, microbiology, or machine learning would be very welcome. Applications from candidates who do not fulfil the essential criteria
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-time considered at 0.8 FTE or above), Fixed Term Contract (6 months) Are you someone who serves as a role model for customer service, has an appetite to learn, is keen to understand and support a wide
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leave • A comprehensive range of childcare services • Family leave schemes • Cycle and electric car loan schemes • Employee Assistance Programme • Membership to a variety of
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
illnesses. The post holder will also co-supervise a PhD student who will be involved in the same project. This is a highly interdisciplinary project combining forest ecology, remote sensing, machine learning
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and leading a programme of numerical simulations relating to all aspects of our research on P-MoPAs; using particle-in-cell computer codes hosted on local and national high-performance computing
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working on nanotechnology, biosensing, optics, and machine learning to develop an advanced point-of-care diagnostic platform with a strong translational emphasis. In this new role, we are looking
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dissemination and grant writing. About you You will hold a PhD (or be close to completion) in a relevant field, in addition to experience of implementing or fine-tuning LLMs using machine learning libraries
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Love working with your hands? Keen to learn a real trade, earn while you learn, and be part of a team helping to maintain historic Oxford spaces? The University of Oxford is offering a 24-month
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developing characterisations of network models and interactions with methods in statistical machine learning. The post holder provides guidance to junior members of the research group including project
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sleep; performing anatomical tract tracing; analysing existing and new datasets using python and Matlab using advanced statistical methods such as machine learning; collaborating with other members