173 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at University of Oxford
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associated computing code for modelling avian influenza outbreaks in Great Britain (GB). One position will focus on modelling the risk of virus invasions into GB in different locations and at different times
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With the human population estimated to reach 9.8 billion people by 2050, the looming nitrogen (N) crisis, stemming from the intensive use of fertilisers in agriculture, requires urgent global action. Massive synthesis and application of fertiliser N has a large energy cost, causes CO2 release...
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using in vivo models. The role will also include supporting the general program of research within the pre-clinical team. You will work in Containment level 2 and 3 facilities to assist with murine
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execute research activities, communicate effectively, and work in a team. Depending on interest, the post-holder may have opportunities to teach in a College or demonstrate in the undergraduate laboratories
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We are seeking a motivated and experienced Postdoctoral Research Assistant to join a flourishing program of research led by Dr. Rachel Tanner, studying tuberculosis (TB) with a focus on novel TB
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and social data with the aim to better understand energy use. The programme is an interdisciplinary collaboration between the School of Geography and the Environment (Oxford), the Department
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central eighteenth-century areas of concern such as campaigns for the abolition of the slave trade or early forms of constitutionalism. The Postdoctoral Researcher will also assist with a programme of
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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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supervision, are self-motivated and have strong computational and scientific writing skills. We provide a nurturing environment and access to high-dimensional pathogen genome, human mobility, epidemiological