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large datasets provided by our industry partners. A central component of the PhD will be a one-year sampling campaign, during which the student will conduct in situ monitoring across three drinking water
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explore methods to attribute elements of model spaces to skills, or specific aspects of the data. This can be used either as input in hypermodelling, where new models for specific domains are generated
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. The objective of this work is to explore methods to attribute elements of model spaces to skills, or specific aspects of the data. This can be used either as input in hypermodelling, where new models for specific
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infrastructure reliability is essential to delivering a safer, more resilient and more sustainable railway. This PhD project will establish the first integrated national-scale analysis of hydro-vegetation risk
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-of-the-art epitaxial reactors, including Metal-Organic Vapour-Phase Epitaxy (MOVPE) and Molecular Beam Epitaxy (MBE) reactors, as well as a wide range of semiconductor characterization equipment (such as SEM
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biochemical analysis (COD, nutrients, solids, moisture, biodegradability). • Operation of grinding equipment, filtration rigs and separator technologies. • Sewer-hydraulics modelling and assessment of blockage