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Field
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an essential component in the safe and reliable operation of Generation III+ and IV nuclear reactor designs, including High Temperature Gas-Cooled reactors (HTGR), Pressurized Water Reactors (PWR), Lead-Cooled
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waters at scales not seen in the UK. The reduction of nitrogen loading is the primary driver; however, the NBS also have capacity to deliver parallel removal of phosphorus. The NBS include the restoration
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-edge Machine Learning applications on the Exascale computer JUPITER. Your work will include: Developing, implementing, and refining ML techniques suited for the largest scale Parallelizing model training
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to enhance the understanding of the soil-root system Find links between non-invasive geophysical monitoring and the availability of Nitrate and water in the soil Improve the small-scale process understanding
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drives tumour development, childhood cancers lack the extended time frame needed to accumulate the mutations required for tumorigenesis by those routes. Therefore, endogenous mutagenic processes are a
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"Reconfigurable Heterogeneous Highly Parallel Processing Platform for safe and secure AI" ref 101097224 funded by the European Union with part-time dedication (generical tasks). Where to apply Website https
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contribute to standardisation documents Present findings at international events The research activities will be hosted by the Parallel Computing and Optimisation Group (PCOG) at SnT, headed by Dr. Grégoire
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technical committees, consider the usage of standards, and contribute to standardisation documents Present findings at international events The research activities will be hosted by the Parallel Computing and
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relevant technical committees, consider the usage of standards, and contribute to standardisation documents Present findings at international events The research activities will be hosted by the Parallel
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| University of Leeds Funding: School of Chemical & Process Engineering Studentship, in support of the EPSRC Research Grant: Modelling, Validation and Application of Triboelectrification (Grant Number: EP