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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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funded by UKRI EPSRC and is fixed term for 12 months. You will be contributing to joint UKRI EPSRC – NSF CBET project on sustainable computer networks, with a focus on carbon emissions reduction and
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of mole activity and soil health and biodiversity, collecting data on visitor perceptions of moles and their management, and analysing findings using statistical modelling approaches. The role provides
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on modelling of the transport, electrochemistry, and mechanics of next-generation lithium/air electrode materials and cell architectures. Using input data from experiments, the post holder will develop and
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on modelling of the transport, electrochemistry, and mechanics of next-generation lithium/air electrode materials and cell architectures. Using input data from experiments, the post holder will develop and
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, three PhD students and a postdoctoral researcher. The project is led by Dr. Yiren Zhao at Imperial College, who is supported by Prof. George Constantinides and Prof. Wayne Luk. The team also includes Dr
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inference attacks, to mitigate privacy leaks in MMFM. You will hold a PhD/DPhil (or be near completion) in a relevant discipline such as computer science, data science, statistics or mathematics; expertise in
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PhD in a relevant specialist subject (e.g., Latin language and/or literature, medieval studies, cultural studies, history, liturgy, or theology) or have evidence that the PhD will be completed by
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include a motivation statement, which demonstrates how their research interests and expertise relate to the project and the desired tasks. Applicants must hold a PhD in a relevant specialist subject (e.g
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include a motivation statement, which demonstrates how their research interests and expertise relate to the project and the desired tasks. Applicants must hold a PhD in a relevant specialist subject (e.g