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will possess sufficient specialist knowledge in the discipline to work within established research programmes as well as the ability to manage own academic research and associated activities. You will
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of study. Will be able to demonstrate sufficient knowledge in Papyrology and associated methods and techniques to work within established research programmes. Will have linguistic proficiency in Demotic and
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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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"Mathematical Data Science" research group at the University of Vienna (led by Prof. Dr. Philipp Grohs) and the "Computational Partial Differential Equations" research group at TU Wien (led by Prof. Dr. Michael
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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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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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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