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Field
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Invention Agency, as part of a programme on Synthetic Plants (within the Abundant Manufacturing opportunity space). Building on a sixty year history of problem-focussed research at the Science Policy Research
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research themes combining theoretical analysis, probability, and computational modelling. Core duties include: Researching the non-local geometry and topology of Gaussian random fields, and random Laplace
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structure, charge, and instrument parameters influence OrbiSIMS spectra. You should have a PhD degree in in computational chemistry, biophysics, molecular modelling, or a related field, and experience
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ideally suited for people who have recently completed a PhD and who are interested in developing their educational skills within a supportive department. They should be enthusiastic about delivering
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hold a relevant PhD/DPhil or be near completion* in one of the following: Finance, Mathematics, Statistics, Econometrics, Computer Science, or a closely related subject (preference will be given to those
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of medicine and therapeutics within the Department of Pharmacology and Therapeutics based in the Institute of Systems, Molecular and Integrative Biology. This programme aims to develop causal inference models
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Department This position is part of a new Advanced Research + Invention Agency-funded project, subject to contract negotiations, part of the Accelerating Adaptation programme (see https
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, implementation and evaluation of multi-robot scouting methods suitable for wheeled-legged systems in physically-realistic simulated environments and on real robots. You will hold or be close to completion of a PhD
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to: to develop and evaluate one pilot programme with our partners Two Lives London and their supply chain partners produce a set of case studies that would enable the Centre to identify & specify a full
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BOLD Lab’s industrial partnerships through site visits, technical demonstrations, and meetings, and assist in the preparation of project reports and grant proposals. You should possess a PhD or DPhil (or