97 genetic-algorithm-computer "Integreat Norwegian Centre for Knowledge driven Machine Learning" Postdoctoral positions at University of Oxford
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Baker). The subject of the research project within the Division of Cardiovascular Medicine, University of Oxford is to re-programme immune cells as part of a larger programme to develop novel therapeutics
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work closely with lab members but with a focus on EV-associated fungal proteins. They will assist in protocol and technique development and use reverse genetics for functional analysis of EV candidates
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reverse genetics for functional analysis of EV candidates. This project will require a strong molecular biology background, knowledge in AI-based protein structural prediction, in vitro expression systems
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Raman’s cardiovascular research team. This role is embedded within a cutting-edge programme focused on integrating high-dimensional datasets, including advanced cardiac MRI (oxygen-sensitive, metabolic, and
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renewable award. You will lead a programme of research in the molecular mechanisms of cardiovascular disease, that may include a range of approaches including targeted genetic murine models, primary cell
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computational workflows on a high-performance cluster. You will test hypotheses using data from multiple sources, refining your approach as needed. The role also involves close collaboration with colleagues
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Metabolism (OCDEM) on studies related to circadian rhythms in population health. This post is part of a large, interdisciplinary research programme, offering attractive opportunities to work across
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vascular biology) alongside experience in cell biology and cell signalling in isolated primary cells. You must also have experience in phenotyping of genetically modified experimental models
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We are seeking to appoint a Postdoctoral Research Assistant to join Professor Holm Uhlig’s group at the Centre for Human Genetics, University of Oxford. You will be investigating mucosal barrier
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in preventing immune-mediated pathology in autoimmunity remains poorly understood. Using genetic and antibody-based targeting, we aim to dissect how these pathways modulate T-cell signalling