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are important, leading to different models being used. However, in recent years model topologies for automatic speech recognition and many other speech processing tasks have started to converge - driven by
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work with the UK semiconductor industry. The studentship represent a unique opportunity to be trained in the epitaxy process and to work in an emerging and exciting area of combining AI/machine learning
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and anaerobic digesters. By combining biochemical experiments, hydraulic and process modelling, life-cycle assessment and policy evaluation, the project will determine where and when disposer-inclusive
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ecological modelling. • Interest in undertaking field work and laboratory analysis (eDNA) methods to monitor and evaluate risks of algal blooms in reservoirs. • Familiarity with computer programming
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questions about the application process should be directed to the School’s Director of Research, Emma Moore (e.moore@sheffield.ac.uk). Any questions about the individual projects should be directed
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, Computer Science, Chemistry & Materials, Data Science & Scientific Computing, Earth Science, Mathematics, Neuroscience, and Physics are encouraged to apply. ISTA processes applications for its PhD program