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Appropriate computational skills and knowledge of programming languages (Python, C++, etc.) Experience with Machine and Deep Learning models and software (Keras, Scikit-Learn, Convolutional Neural Networks, etc
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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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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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in bioinformatics and genetics would also be considered. For genetics-focussed candidates, subject knowledge in obesity/metabolism is welcome, but not essential. For molecular biology candidates
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knowledge of which is currently limited in the fusion community. Some key questions to study include, but not limited to: Understanding the effect of irradiation dose & temperature on microstructure evolution
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blood and or endothelial cells; Knowledge or experience in molecular biology techniques e.g. qPCR, immunoblotting and immunohistochemistry. How to apply Interested applicants should contact Dr Sarah Jones
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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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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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, or Matlab). The student should also have a basic knowledge of statistics and an interest and enthusiasm for weather-energy and climate energy links. Support: The student will have weekly meetings with
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realignment sites, helping to improve how these habitats are restored and advancing the approach taken in coastal wetland restoration attempts. Student profile: The student should have knowledge of remote