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Applications are invited for a Postdoctoral Research Assistant in Data processing for the MIGHTEE survey. This is a senior role funded through the UKRI Frontier Research Grant of Prof. Matthew
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We are seeking a full-time Postdoctoral Research Assistant in Computer Vision to join the Visual Geometry Group (Central Oxford). The post is funded by ERC and is fixed-term for 1.5 years with a
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project and is fixed-term for two years, with the possibility of extension. The objective of this project is to carry out computer vision and machine learning research in order to be able to translate
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://www.rdm.ox.ac.uk/research/antanaviciute-group-computational-biology-and-tissue-immunology About you You should possess a Ph.D. (or equivalent) in Computer Science, Computational Biology, Bioinformatics, or a closely
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experimental and computational approaches are employed to shine light into key biological processes during the life of parasitic flatworms. Large-scale sequencing datasets (‘omics’) are generated and analyzed
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additional expertise in areas such as FACS/mass cytometry, bioinformatics, or in vivo work (holding a personal licence) would be advantageous. Application Process If you would like to discuss this role, please
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‘omics’. The post holder will join a group of researchers working across the fields of pathology, machine learning / computer vision, bioinformatics and spatial biology. Background: The quantitative
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disease. Together with other members of the team, the post-holder will design parallel tasks for rodents and humans and apply comparable analytical approaches to data across species. Cell and circuit
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vivo culture. You will also investigate cGAS-STING signalling, regulation at the endoplasmic reticulum, and T cell phenotypes and trafficking. A key aspect of the role includes bioinformatic analysis
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experience in molecular biology techniques and bioinformatic analysis of digital pathology images. Your ability to prioritise your own workload and work independently will be essential, as will your excellent