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quantitative cell-based assays, flow cytometry-based and imaging approaches complemented by biochemical and, where appropriate, structural methods. The successful candidate will be expected to work independently
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Postdoctoral Research Associate who will primarily contribute to the project. The successful applicant will be ideally educated to PhD level in Computer Science, Artificial Intelligence, Software Engineering
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silicon-containing building blocks with the opportunity to carry out high-throughput experimentation. Candidates should have or expect to obtain a PhD or equivalent qualification in synthetic chemistry or a
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. Ability to use computer algebra software (e.g. Mathematica or Maple) for symbolic computations 2. Good numerical skills 3. Experience in field-theoretical methods (e.g. supersymmetry) 4
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panels annually, yet current recycling methods are economically unviable. Your research will transform recovered materials into high-value products using flash Joule heating technology enabling rapid
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), computing sensitivity kernels and applying the BG-SOLA method to infer the properties of the MTZ. They will adapt existing and develop new seismic analysis and inverse methodologies within a finite-frequency
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the BG-SOLA method to infer the properties of the MTZ. They will adapt existing and develop new seismic analysis and inverse methodologies within a finite-frequency framework and analysing the resulting
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panels annually, yet current recycling methods are economically unviable. Your research will transform recovered materials into high-value products using flash Joule heating technology enabling rapid
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Springmann, you will develop and apply global food-system models, integrating data and methods from across disciplines to assess pathways towards healthier and more sustainable diets. You will contribute
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respectively at Oxford and KCL. We seek a person with expertise in Africa’s history of decolonization and/or African audio visual and cultural research and methods. We welcome applications from all career stages