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battery materials synthesis and device fabrication, advanced characterisation and materials modelling. We will work to develop new Li-rich 3D cathodes by controlling local ordering in disordered rocksalt
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manipulation tasks in a range of dynamic domains (industrial, service, domestic). This position will focus on using and developing learning-based perceptive approaches. You will develop a control framework
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months. The project involves instrument development and studies of electron-induced processes in a variety of small to medium sized molecules, and is funded by the ‘New Directions in Molecular Scattering
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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
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the selection process. The ideal candidate will hold a PhD in biophysics, biochemistry, physical chemistry, physics, engineering, or a related area, or have submitted a PhD thesis prior to taking up
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that control the response to low oxygen conditions in Marchantia polymorpha. They will contribute both to the practical work with plants but also some bioinformatics work on protein structure and function
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to determine statistical occurrence of different crystallographic defects. Processing of the multimodal data will allow the appointee to correlate statistics on defects identified at the atomic level with
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Road, Oxford and there will be the opportunity for online/hybrid working. This post is available as soon as possible. This is a part-time role - 11.5 hours p/week. Application Process Applications
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learning systems. Reporting to the principal investigator, Professor Christopher Summerfield, the post holder will be a member of the Human Information Processing Lab. They will be responsible for carrying
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of animal facilities in Oxford medical school campus. Application Process Applications for this vacancy are to be made online and you will be required to upload a supporting statement and CV as part of your