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exciting opportunity to contribute to a major regional innovation programme while working as part of a dynamic and supportive team within the Sir Peter Rigby Digital Futures Institute. This role will be
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and leading journals, and to undergo additional methods training. About You Educated to doctoral level in political science or a cognate discipline, you will be proficient in quantitative research
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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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to have the following skills and experience: Essential criteria PhD in Neuroscience or near to completion* At least one first-author publication in a scientific journal Extensive experience working with
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. To discuss the post in more detail, please contact Dr Carla Solorzano-Gonzalez, Senior Programme Manager, using the contact details : carla.solorzanogonzalez@paediatrics.ox.ac.uk Only online applications
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and statistical modelling, statistical image analysis and computer vision, chemometrics, biophysics, bioengineering. Preference will be given to candidates with a demonstrated experience in applying
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the QDM and magnetism of chondrules as part of the MMESSH grant. They will use specialist scientific equipment in a laboratory environment and optimise and adopt any scientific techniques required to access
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stress. Building on our discoveries (Dietrich et al. 2017, Nature Plants; Orosa-Puente et al. 2018, Science; Mehra et al. 2022, Science), this project aims to identify genes and mechanisms involved in
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This post is a postdoctoral research assistant role within Prof Robert House’s Group in the Department of Materials. The post will be for up to 3 years in association with a new Faraday Institution-funded project entitled “Accelerated Development of Next Generation Li-Rich 3D Cathode Materials...
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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