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participate in developing algorithms for tau lepton identification, and will also have the opportunity to assist with silicon module construction for the ATLAS tracker upgrade. Instructions for applying can be
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machine vision algorithms. The system will be designed with the physical constraints of remote fusion environments in mind, including radiation tolerance, restricted access, and the need for automation and
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, including how to guarantee the properties of stability and constraint satisfaction while probing the system and learning a new model. This project aims to develop novel algorithms for the adaptive distributed
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processing, data analysis, data-driven modelling, optimisation and computation algorithms, machine learning models and neural network structures, as well as strong skills and experiences in computational
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on specific use cases, including multi-modality perception systems, to enable testing and validation of robotic manipulation strategies. Implement intelligent algorithms for the robotic execution
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hardware-in-the-loop (HiL) techniques and ML algorithms for the accurate and on-time detection of faults, so that failures can be prevented by alerting the end-users and diagnosticians during periodical
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methods. An understanding of quantitative data collection, analysis and knowledge mobilisation is desirable. In addition, you will have strong spoken and written communication skills to liaise with multiple
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stimulating multi-disciplinary context working directly with a team of healthcare professionals and researchers from the University of Sheffield, Liverpool John Moores University and multiple NHS trusts
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primary and secondary quantitative and qualitative data from multiple sources. Support project reporting requirements, for example in relation to research project progress, finance, etc. Carry out other
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of this type of work is crucial. For this role, you will need to have a high standard of project support experience especially within large portfolios of work spanning multiple groups. Also, you should be able