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semiconductors for renewable energy generation”. This collaborative project will tackle the complex array of exciting fundamental science arising in “soft” inorganic and hybrid semiconductors, seeking to develop
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are comfortable navigating complex HPC environments and wrangling large datasets. You have experience with modelling through state-of-the-art machine and deep-learning methods and with hands
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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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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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term role to support a large project looking at developing outdoor thermal comfort models for children? If so, we would welcome your application to this full-time, fixed term role. As a Post-doc Research
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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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(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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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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“LAHAR-MM: An integrated approach to LAhar Hazard Assessment and eaRly warning using geophysical Monitoring and numerical Modelling”. This project will investigate the characteristics and flow behaviour
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form, how it is generated and how it evolves. In particular we focus on the evolution and evolvability of vertebral counts, and we use various species of Lake Malawi cichlids as our model organism