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modelling or equivalent expertise? Do you want to further your career in one of the UK’s leading research-intensive Universities? If so, then this role working as part of the ‘Moving IMPACT: Integrated Means
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of the correctness of software and hardware systems using machine learning. Recent advances in neural certificates—such as neural model checking and neural termination analysis—have shown promising results in
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Job no:520746 Work type:Full Time Location:Crawley Categories:Engineering and Mathematical Sciences, Social Sciences Lead numerical modelling of carbonate sand for offshore foundations, support
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all datasets which inform the populations health needs including the data relating to the wider determinants of health Develop multilevel modelling on secondary dataset Increase the cultural and
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needs of the population Create a data-lake of all datasets which inform the populations health needs including the data relating to the wider determinants of health Develop multilevel modelling using
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signal processing models to analyze waveforms generated by traditional patient monitors and a novel wearable sensor and build a decision support tool to guide CPR Participate in the user interface and
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Lead numerical modelling of carbonate sand for offshore foundations, support research outcomes, and contribute to publications and student supervision. Full-time appointment on a fixed term basis
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obligatory requirements: Advanced knowledge of 3D modeling and experience in areas relevant to the project. Availability is valued The proof of enrolment must be made until the contract signing date, and the
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also present the following obligatory requirements: Advanced knowledge of 3D modeling and experience in areas relevant to the project. Availability is valued. The proof of enrolment must be made until
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SEAMPHONI project, funded by Horizon Europe, aims to deliver a novel, integrated, and innovative mapping, monitoring, modelling, and management system for offshore marine areas (OMAs). A key feature of