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Field
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as medical/biomedical sciences, epidemiology, public health, health data science). Experience or interest in working in public health or epidemiology or similar is desirable. Knowledge and evidenced
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, dedicated to generating original knowledge and understanding of air and space power issues. FASI places a priority on identifying, developing and cultivating the next generation of air and space thinkers in
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, precise and is pathogen agnostic, you don’t need prior knowledge of which pathogen is causing the infection to use it as a diagnostic. Challenges remain however in standardisation, application and
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turbulence, and use this knowledge to identify control strategies through deep reinforcement learning. The methods developed in this project will directly contribute to designing novel porous media
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dynamical prediction systems, focusing on the Met Office models GloSea and DePreSys, and will yield a systematic understanding of skill at longer lead times, and knowledge of when and where the forecasts
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that the electrolysers operate safely and reliably while fulfilling the intended specifications. The knowledge gained from the experiments will be used to determine the appropriate risk and reliability analysis
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the preparation of articles for publication in scientific journal(s) Good numerical and statistics skills and familiarity with text editing software, such as Word, Excel, etc. Knowledge of advanced statistical
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, nuclear engineering, fusion energy, chemical engineering, physics, chemistry, mechanical engineering to name a few. No prior experience is mandatory. Some knowledge of fusion basics and/or microstructural
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selection processes, following them over the course of c.18 months, to consider their experiences and explore what values, knowledge strategies and networks are conductive to successful applications
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partner Tata Steel UK. The project aims to advance fundamental knowledge on the impact of residual elements inherited from steel scrap on slag performance and utilisation in the scrap-based electric arc