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team consisting of four other PDRAs and several PhD students, academic leads from the University of Reading, University of Oxford and Northumbria University as well as project partners including
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foster a vibrant postgraduate research culture with a strong emphasis on interdisciplinary collaboration, innovation, and impact. The department offers a supportive environment for early-career researchers
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fixed-term contract until 30 October 2027. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria A PhD in a relevant field
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pioneering solid-state CPL spectrometer (Nat. Commun., 2020, 11, 1676) triggered a paradigm shift in CPL spectroscopy that has been hindered over the last 50 years due to its stagnant design that prevented its
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-doctoral research associates, technicians and PhD students to complete several experiments. Contribute to general lab organisation and cleanliness. Help maintain a Drosophila (fruit fly) collection - perform
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
biodiverse and socioeconomically complex regions like the Amazon. This PhD will explore how tropical forests are functionally adapting to climatic pressures such as drought and warming, and how
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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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developing and maintaining radar equipment designed to capture quantitative data on pyroclastic density currents during volcanic eruptions. The successful candidate will have an engineering background and
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personality: Excellent German language skills (at least C1 level) are essential Completed doctoral/PhD studies in Islamic-Theological Studies or a comparable discipline Research in the field of Islamic theology
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for candidates to have the following skills and experience: Essential criteria PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods to analyse datasets