677 web-programmer-developer-university-of-liverpool Postdoctoral positions in United Kingdom
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to lead projects aimed at developing a full-stack approach to suppressing errors in quantum hardware. This research focuses on achieving practical quantum computation by integrating techniques ranging from
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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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collaborators and colleagues from within the University to achieve a range of real-world outcomes. Typical outputs include top-tier scientific publications, patents, and seeing collaborators translate our work
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The University of Oxford is a stimulating work environment, which enjoys an international reputation as a world-class centre of excellence. Our research plays a key role in tackling many global
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About the Role You will develop and apply novel computational methods to quantify the societal impact of fundamental science discoveries. Candidates close to completion of their PhD will initially
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will employ a multi-disciplinary approach, including protein/nucleic acid biochemistry, bacterial genetics, and phage biology to test and generate hypotheses. You will develop new ideas and approaches
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A postdoctoral position is available in Prof. Ivan Ahel’s group based in the Sir William Dunn School of Pathology, University of Oxford to study the interplay of ADP-ribosylation and ubiquitylation
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2025. We seek to recruit a Research Associate specialising in statistical modelling and machine learning to join our multi-university multi-disciplinary team developing a groundbreaking technique based
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to understanding the origins and progression of paediatric brain tumours and developing new therapeutic strategies. The lab combines genetic engineering, molecular biology, and translational research to investigate
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establish and validate microfluidic co-culture systems using human glomerular cells and benchmark these platforms against human kidney multi-omic and spatial datasets. These systems will be further developed