190 post-doc-image-processing Postdoctoral positions at University of Oxford in United Kingdom
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well as access to the group dedicated computing cluster environment with H100, L40s, and A40 GPUs. This post is funded by the UKRI Future Leaders Fellowship, a flexible long-term public funding scheme
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sits within the Institute of Biomedical Engineering (IBME) in the University’s Department of Engineering Science and is supported by a £25m 10-year donation to the University. This full-time post is
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signalling in regulation of immunity and genome stability. The post-holder will be responsible for managing own academic research, adapting existing and developing new scientific techniques and experimental
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We are seeking a full-time PDRA to join Prof. Dong (Lilly) Liu’s research group at the Department of Engineering Science (Central Oxford). The post is funded by the EPSRC project: Understanding
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is fixed term for up to 36 months with a start date on or before 1st October 2025. This post will involve developing analysis and control methods for systems described by PDEs, with applications in
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signalling in DNA damage and/or immunity responses. The post-holder will be responsible for managing own academic research, adapting existing and developing new scientific techniques and experimental protocols
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your online application. Your supporting statement must specify which thematic areas you are interested in working on, and explain how you meet each of the selection criteria for the post using examples
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England in recognition of the strong connection between Freemasonry and Enlightenment values. Application process You will be required to upload a CV and a supporting statement explaining why you consider
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of the selection criteria for the post using examples of your skills and experience. Please restrict your documentation to your CV and supporting statement only. Any other documents will be requested at a later date
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), based at the Centre for Human Genetics, University of Oxford. The post aims to assist with the preparation and molecular characterisation of tumours using multi-omic analysis focusing principally