134 algorithm-development-"University-of-Surrey" Postdoctoral positions at University of Oxford in United Kingdom
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informing the development of more precise immunotherapies. The successful candidate will: • Design and carry out in vivo experiments in preclinical mouse models of autoimmunity • Perform
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of blood and mucosal samples from clinical studies. Training will be provided but previous experience in microbiology is expected. You will also participate in developing and establishing methodologies
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. The post-holder will be responsible for managing their own academic research programme in Salmonella effector biology. You will have a high degree of autonomy to develop the methodology and experimental
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(LiB’s). You will be responsible for: • Developing models and simulations of the electrode fabrication process, sensors, and actuators. • Developing a demonstrator of a soft sensing system that
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, including molecular clouds (properties, formation, evolution), dynamics (supermassive black hole mass measurements, gas flows, active galactic nucleus feedback), and any other facets of the data not yet
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reproductive behaviour, with a focus on childbearing age and fertility levels. The project will develop a framework to understand global fertility dynamics and the links between reproductive behaviour and
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the Department of Engineering Science. The post is funded for a 2-year fixed term. You will be actively involved in developing and running experimental facilities at the Oxford Thermofluids Institute
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Science Park. The post is funded by Innovate UK and is fixed-term to 30th April 2026. The CEBD project is an ambitious programme to develop the first category enhanced battery powered eVTOL. The project
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suited to a Postdoctoral Researcher who has established expertise and track record in cardiovascular disease, and could benefit from support of the BHF’s award to develop their career and make major
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establish and validate microfluidic co-culture systems using human glomerular cells and benchmark these platforms against human kidney multi-omic and spatial datasets. These systems will be further developed