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anticipated the candidate will have to spend some time at CERN during testing periods. Your key responsibilities will involve: Development of algorithm emulation software for trigger primitive finding
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processes. You will be based at Rolls-Royce in Derby, and work on the development and validation of numerical methods for predicting the structural integrity of composite components for aircraft engines in
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stratigraphic data. Working with project partners to operationalise the forecasting of eruption column dynamics towards warnings. Contributing to the development of open-source software and documentation, and
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collaborate closely within the STL and with our partners and contribute to academic publications, open datasets, or policy recommendations. Through your experiments and study of trends in hardware and software
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and associated products Disseminating outputs of the project to key stakeholders and other scientists Advancing the GATES software to improve model scope and accuracy, and contributing
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. Advise on and participate in deployment activities related to the TORUS system. Essential PhD in machine learning (or working towards one for Grade I), data science, artificial intelligence or related
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, including analytical/semi-analytical models to Lattice-Boltzmann method, to examine propeller in single and multi-configurations. Working closely with a Research Associate in experimental work, you will
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-dimensional niche models, and applying advanced Bayesian spatio-temporal methods. You will: Build n-dimensional abiotic niches for >6,700 species and estimate population positions within them. Quantify niche
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determine how reforestation strategies influence soil carbon stock accumulation and stability (PhD #1), the reassembly and structure of soil networks (this position) via differences in the quantity of carbon
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small team in the Eastern Caribbean, sampling, describing and correlating eruptive deposits Using textural analysis and microanalytical methods to reconstruct changing intensive parameters in