173 augmented-workers-using-smart-robats-in-manufacturing-cell Postdoctoral positions at University of Oxford
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requires broad and integrated expertise; as such, we employ outstanding international scientists trained in biophysics, biochemistry, and cell biology who work together enthusiastically as a
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study the mechanical behaviour of materials important to the aerospace industry. You will utilise a wide-range of mechanical loading and conditioning platforms to deduce the effects of strain, strain-rate
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About the Role We are seeking an enthusiastic and motivated postdoctoral researcher to apply advanced data analytics and machine learning techniques to real-world clinical data in the field of viral
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About the role Dr Zhenyu Cai’s research group in the Department of Engineering Science seeks a highly motivated and exceptionally talented quantum theorist to lead projects aimed at developing a
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Materials Manufacturing Hub (SCHEMA), and is associated with a project entitled, ‘Hydrogen-driven bio- and chemo-bio-catalysis to unlock diols and carboxylic acids from hydroxymethylfurfural and furfural
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base, the partnership will bring together the University of Oxford’s expertise in statistics, mathematics, engineering and AI with industry scientists. Within the partnership, small research teams will
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, funded by the Medical Research Council and is due to start no earlier than January 2026. If successful, you will use experimental approaches to contribute to a project that is investigating aspects
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, you will use experimental approaches to contribute to a project that is investigating aspects of synaptic inhibition and plasticity in the mammalian cortex. The research will employ studies in rodents
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About the role Applications are invited for a Postdoctoral Research Associate in Polymerization Catalysis to work with Professor Charlotte Williams for a period of up to 5 months. The post is funded
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on understanding the spread and control of human infectious diseases using modelling and pathogen genomics. This is a short-term opportunity to apply machine learning methods to two key projects. First, you will