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have a PhD and track record in either computer science with specialisation in relevant AI technologies for surrogate modelling, or in Earth or Environmental Science with a strong track record in
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Multidisciplinary Centre for Neuromorphic Computing. The revolutionary project will see scientists use human brain stem cell clusters (organoids) on microchip arrays to push the boundaries of neuromorphic
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). The post is funded by NIHR and is fixed-term for 24 months, with a possible extension. This project is about creating novel AI models to predict patient outcomes following acceptance or refusal of an offer
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modelling, innovative and carefully-designed behavioural experiments, in-silico reconstructions of animal interactions, and bio-mimetic robotic systems. You will benefit from a vibrant and inclusive research
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The GEOCLOUD project team will use the cloud policy dataset together with infrastructure and usage data developed in other work packages to model how policies influence cloud geography and computational
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, contributing to our development and the success of our mission. The core responsibility of this role is the development of multiscale computational models, with particular emphasis on bio-based composite
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largest protein/peptide mimotope dataset foundational for advancing any peptide-based drug discovery programme. The ERC PoC PepVerse project focuses on increasing the technology readiness of this platform
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We are seeking a talented and motivated researcher to join the Mead Group to contribute to a major research programme, focused on understanding and preventing disease progression in
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lowland river chemistry. Ultimately, these experiments will be used to parameterise calcite precipitation rate equations and empirical rate constants to inform catchment-scale modelling of ERW practices and
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scientific discipline. Experience in developing and running an atmospheric transport model. Experience in interpreting data. Experience with FORTRAN and Python computer languages. Proven ability to work