142 scientific-computing Postdoctoral positions at University of Oxford in United Kingdom
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to underpin Salmonella pathogenesis. The post-holder will be responsible for managing their own academic research programme in Salmonella effector biology. You will have a high degree of autonomy to develop
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maternity services in England. To be considered for this role you will hold, or be close to completion of a PhD in social science or other relevant health related science. You will have experience
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administrative tasks, this will include small scale project management to coordinate multiple aspects of work to meet deadlines. You will adapt existing and develop new scientific techniques and experimental
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data to build hypothesis and test them in laboratory models. You will contribute ideas for new research projects, collaborate in the preparation of scientific reports and journal articles and act as a
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is funded by the UK Engineering and Physical Sciences Research Council and is fixed-term to 31-Dec-25. The research project you will be employed on investigates the materials science surrounding liquid
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commitment to promoting women in Science, Engineering and Technology.
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research, adapting existing and developing new scientific techniques and experimental protocols. You will work with limited supervision to design and accurately execute experiments to achieve the goals
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on evaluating the abilities of large language models (LLMs) of replicating results from the arXiv.org repository across computational sciences and engineering. You should have a PhD/DPhil (or be near completion
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qualitative social science research, such as literature reviews, surveys, interviews, thematic analyses, researching and writing up case studies, data presentation, etc. Candidates also proficient in
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
, epidemiology, and socio-environmental modelling. To be considered a successful candidate; A PhD degree in Ecology, Biodiversity analyses, Environmental Science, Remote Sensing, Epidemiology, Data Science, or a