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to explore key technologies and solutions that will support UK industry to reach net zero. https://greenindustrialfutures.site.hw.ac.uk/the-programme/training-programme/ Project: The green industrial futures
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to explore key technologies and solutions that will support UK industry to reach net zero. https://greenindustrialfutures.site.hw.ac.uk/the-programme/training-programme/ Project: Both carbon removal
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such as SQL (Application / Interview) Expertise in data cleaning and linkage, with experience in the storage, extraction, manipulation of complex datasets in a programming language (R or Python) using
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programme This University of Sheffield PhD project is part of the EPSRC Centre for Doctoral Training in Sustainable Sound Futures programme. Further details about the CDT and the programme can be found
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or upper second class honours degree or significant research experience. Candidates must have a first or upper second class honors degree or significant research experience. A background in computer science
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biomechanical computational model, and have some experience in scientific programming such as Python. You will join the group of Dr Xinshan Li, Professors Damien Lacroix and Enrico Dall’Ara, as part of
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/interview) A degree (Bachelor’s, Master’s, or PhD or equivalent experience) in Software Engineering, Computer Networks, Embedded Systems, AI, Data Engineering, or a related subject (assessed at: application
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be used to demonstrate the ability to detect both gradual degradation and faults in the machine. Training & Skills You will benefit from a taught programme, giving you a broad understanding of the
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. (assessed at: application & interview) Desirable criteria Knowledge of computer programming with experience in a scientific program language e.g., Python, Java, C++, C, C#, LabVIEW, MATLAB, Halcon, R, Maple
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or field data for data assimilation. (e.g. [8]) Training & Skills You will benefit from a taught programme, giving you a broad understanding of the breadth and depth of current and emerging offshore wind