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methods and techniques to work within established research programmes. Have linguistic proficiency in Ancient Greek and Latin and experience working with a range of ancient sources, including papyri and
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women's health. We also have thriving research programmes in global health, and health and social care. Further information about the Faculty of Life Sciences and Medicine may be found at https
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We are seeking a Postdoctoral Research Associate to join the Ghafari Research Group in the Department of Biology, University of Oxford. The group focuses on studying the mode and tempo of pathogen molecular evolution, particularly in viruses with epidemic and pandemic potential, as well as those...
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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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to plan and prioritise research, identify research objectives, work collaboratively with project partners from academia and industry to deliver project outcomes. Have the ability to present results and
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at the Barts Cancer Institute (Queen Mary University of London). This role will involve analysing existing spatial-omics data sets and developing novel computational tools to understand the risk of developing
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machine learning tools and working on Linux High-Performance Computing platforms would be highly desirable. This is a highly collaborative role and you will work with scientists and clinicians from other
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machine learning tools and working on Linux High-Performance Computing platforms would be highly desirable. This is a highly collaborative role and you will work with scientists and clinicians from other
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spectroscopy Experience Proven experience in algorithm development to do physiological signal processing Experience in advanced computational techniques to assess and enhance signal quality Experience in machine
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at the Barts Cancer Institute (Queen Mary University of London). This role will involve analysing existing spatial-omics data sets and developing novel computational tools to understand the risk of developing