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complex information clearly Fluency in relevant models, techniques or methods and ability to contribute to developing new ones Ability to assess resource requirements and use resources effectively
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(PISCES) with different climate change scenarios and biogeochemical model complexities over centennial and millennial timescales. This will allow you to identify the key drivers of biological carbon storage
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fostering multidisciplinary research across a range of scientific domains. The Centre for Innovation in Genomics and Microbiome Sciences (CIGMiS) undertakes research aimed at addressing complex, systems-level
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samples and disease models. Working closely with a dynamic and multidisciplinary team of clinicians and scientists, you will help generate and interpret high-resolution datasets that reveal new insights
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methods will be used to close the complexity gap. Applicants will have outstanding achievements or show promise in any area of theoretical solid-state physics, including but not limited to modeling
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Agency (ARIA). The PROTECT project (Probabilistic Forecasting of Climate Tipping Points) brings together cutting-edge AI, statistical, and machine learning techniques with climate modelling, aiming
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will develop novel tools which will allow efficient flow modelling tools for other researchers to explore higher fidelity thermochemistry modelling. The main responsibilities of the post will be
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highly-ranked journals. Demonstrable ability to present research papers at international conferences and communicate complex information to specialists and within the wider academic community. Experience
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with cutting-edge models and technologies—including patient-derived glioblastoma organoids, CRISPR-based screens, mass cytometry, and advanced microscopy—to dissect these complex biological processes
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Nuffield Department of Clinical Neurosciences (NDCN), MRC Brain Network Dynamics Unit, Mansfield Road, Oxford The post holder will develop computational models of learning processes in cortical