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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
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methods to study human bone marrow models using high content imaging approaches. You will lead in designing and establishing new protocols to the laboratory as well as supporting, mentoring and training
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have completed, or be close to completing, a PhD/DPhil in a relevant quantitative field such as computational social science, computer science, or cognitive science. They will have a demonstrable track
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relevant skills acquired and will also be determined by the funding available. About you Applicants will hold a PhD/DPhil or be near completion of a PhD/DPhil in a subject relative to Structural Biology
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challenges, from reducing our carbon emissions to developing vaccines during a pandemic. The Department of Psychiatry is based on the Warneford Hospital site in Oxford – a friendly, welcoming place of work
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projects with colleagues in partner institutions, and research groups. You must hold a PhD/DPhil (or near completion). You will have extensive experience in live imaging of the spleen using 2-photon
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. The position is available for a fixed term of 36 months from time of appointment. This project is associated with a new EPSRC/UKRI-funded project entitled “Mastering charge-lattice interactions in novel
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system with integrated sensors. You should hold or be near completion of a PhD/DPhil with relevant experience in the field of robotics, biomedical engineering, information engineering, electrical
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on a broad range of measurement problems in biology. The research requires expertise in single molecule fluorescence experiments: specifically in building or modifying experimental set-ups for optical
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Oxford’s Department of Orthopaedics (NDORMS) as well as collaborators in Bristol and Cardiff. You should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely