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Manufacturing industries face mounting pressure to reduce environmental impact whilst maintaining efficiency and competitiveness. Traditional approaches often lack real-time insights and predictive
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suitable to candidates with a wide range of backgrounds such as but are not limited to: climate science, psychology, mathematics, geography, environmental science, law, computer science, public health
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, microbiology, environmental science, chemistry, physics or data science. Applications would be keen to blend hands‑on experimentation with advanced analytics to create low‑carbon, nature‑based solutions
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policy. Previous experience of environmental or public health economics, epidemiology or work on energy efficiency would be an advantage, but is not essential. Proficiency in statistical packages such as R
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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 (1
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software) and data analysis, and a keen interest in the intersection between environmental sustainability, computing, and science. They should have an ability to communicate and present results to other
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of intensified NbS strategies. Applicants should have a minimum equivalent to a UK upper second class degree (2.1) and preferably an MSc in a relevant subject such as Environmental Engineering, Environmental
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Cranfield University's tailored researcher training programme – setting you up for a rewarding career in water science and environmental technology. Per- and polyfluoroalkyl substances (PFAS), also known as
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-impact questions in environmental economics and labour economics. Key responsibilities for this role includes: Data collection, cleaning, and merging from very large-scale microdata sources (e.g., terabyte
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This PhD project aims to advance Safe and Sustainable by Design (SSbD) pharmaceutical manufacturing by integrating cutting-edge methodologies, including computer-assisted retrosynthesis, end-to-end