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co-supervised by both academic and industry experts, gaining valuable skills at the interface of hydrogeology, environmental engineering, and computational modeling. Research Objectives Understanding
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interdisciplinary research and applying mathematical techniques to ecological data and environmental challenges is highly desirable. About our School Please find further information regarding the School
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, Environmental Sciences, or a closely related discipline. You will bring strong technical skills in building physics, dynamic thermal modelling, and environmental monitoring. Ideally, you will have experience with
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of target species distributions by combining species presence/absence with environmental data to predict wider-scale fish distribution and identify niches Use data and models to identify: i) additional
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interested in improving our understanding and mitigating the environmental impacts of data centres and artificial intelligence. Primary role will be to lead projects improving how computing environmental
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personal interest in experimental aerodynamics/aeroacoustics and environmentally sustainable technology is highly valued. Skills in data analysis and flow physics interpretation are essential. Ability
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variability to address specific research questions. Student profile: Essential skills: The student is expected to have a background in one or more of the following areas: environmental science/ mathematics
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Title: Predicting and Improving the Quality of Recycled Plastics Using Advanced Metrology and Data Science Research theme: "Materials Characterisation" "Data Science and Machine Learning in
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. The outcomes of this research will support cross-disciplinary applications such as environmental monitoring, chemical analysis, and systems biology, providing innovative solutions that enhance the integration
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relevant expertise in the built environment, energy performance, and retrofit design. You should possess a postgraduate degree (MSc or PhD) in Architecture, Construction, Environmental Sciences, or a closely