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flexible working patterns. We are also open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working. Your skills and attributes
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-contractual basis) that combines a mix of remote and regular on-campus working. This post is available from 1st September 2025 and is supported by funding available on a fixed-term basis until 31st September
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the areas: AI, deep neural networks, machine learning, applied topology, probability, statistics, signal processing. About the School The School has an exceptionally strong research presence across
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downstream signalling components such as SHP1 and SHP2 phosphatases, these receptors exhibit strikingly different signalling capacities in disease settings. While these receptors are well known for their roles
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mechanisms by which co-inhibitory receptors, including PD-1, BTLA, TIGIT, and CD200R, regulate T cell function in autoimmune settings. Despite sharing common downstream signalling components such as SHP1 and
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sensing, signalling and memory, critically influences the disease onset and progression1. The Iskratsch Group , at the School of Engineering and Materials Science, Queen Mary University of London is
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PhD (or be near completion) in a field such as AI, computer science, signal processing, biomedical engineering, have a strong record of publication in engineering or computer science literature, and
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, University of Oxford to study the interplay of ADP-ribosylation and ubiquitylation signalling in regulation of immunity and genome stability. The post-holder will be responsible for managing own academic
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), to develop systems that improve the efficacy of machine learning-based technologies for healthcare applications. You must hold a PhD (or be near completion) in a field such as AI, computer science, signal
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equivalent research degree in the Biological or Life Sciences. If you are still awaiting your PhD to be awarded you will be appointed at Grade 6, spine point 30. Upon written confirmation that you have been