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operating filters. Quantify operational performance including headloss recovery, filtrate turbidity, biological stability and lifecycle carbon—using high-resolution sensor data and life-cycle assessment tools
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English language requirements. Further details are available on the International website . Funding information: The studentship is for three years and provides a tax-free stipend of £20,780 per annum
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. Novel techniques, such as microscopy, fluorescence microscopy, and light-field imaging allow users to gather more useful information with higher levels of details than ever imagined. However, lots of
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practices (e.g., Buddhism, you will have a track record of interdisciplinary work at the nexus of artificial intelligence and neuroscience. Experience collecting multi-modal neurophysiological data would be
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existing data analytics tools will help deploy these technologies in the industry context without the need for big datasets. Predictive Maintenance (PdM) is one of the maintenance strategies that has
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? Contact Phil McMinn (p.mcminn@sheffield.ac.uk) for more information or apply here: www.sheffield.ac.uk/made4manufacturing/how-apply When applying, please make sure you select ‘Doctoral Training Course’ as
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correction. This machine-learning approach, however, needs a realistic model of light propagation in the retina in order to validate it and to generate the large volumes of training data required. Funding
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profiles. A successful implementation and completion of this PhD project will provide vital information for making a step change in our hydrogen economy, opening the door for making a lasting impact
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£20,780 per year and a budget for training and research. To apply online for this vacancy and to view further information about the role, please click 'Apply' above. All applications should be made online
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£20,780 per year and a budget for training and research. All applications should be made online. Further information on eligibility and how to apply via University Applicant Portal can be found in