66 condition-monitoring-machine-learning Postdoctoral positions at University of Oxford
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& Design - Design new graphites to resist mechanical and neutron irradiation degradation in AMR conditions. Graphite Performance - Understand the behaviour of these new graphites in AMR conditions and
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volcanic arc using state-of-the-art deep learning techniques and modern seismological processing workflows, reporting to Dr Sacha Lapins. This role offers an exciting opportunity to process multi-year
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, London and Oxford). Working closely with the senior research team, you will conduct and manage research, including study set up and ethics, recruitment, consent processes, and data collection, monitoring
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chronic pain conditions such as neuropathic and osteoarthritis pain, using human iPSC-derived sensory neurons, vascular and immune components to produce an organoid systems. The postholder will play a
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) are chronic and debilitating conditions affecting over 5M people worldwide. They arise due a breakdown in the dialogue between the immune system and the intestinal microbiome, leading to aberrant inflammation
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activity in the frontal cortex and the hippocampal formation of mice performing a schema learning task in a structured maze environment. The project will involve a range of physiology techniques, primarily
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Lives with Linear Accelerators) project, which aims to leverage technologies developed for particle physics, computer vision and robotics into a novel end-to-end radiotherapy system as an essential
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to sustainability initiatives and community-building efforts. We hold a passion for continued, life-long learning and look to support staff in their continued career development
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research will focus on leveraging this interplay to monitor thermodynamic quantities such as work and heat, aiming for direct measurements of work exchange in non-equilibrium quantum systems. The appointed
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would be given to candidates wishing to work part-time (minimum 80% FTE) on a pro rata basis. You will be responsible for leading, coordinating and monitoring quantitative and qualitative research