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sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve
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sector can contribute to climate adaptation through participatory research, governance learning and place-based action. The successful candidate will become part of a vibrant interdisciplinary environment
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and society through teaching, learning, research, and enterprise. An ambitious and innovative university, our research is designed to have real-world impact on society and tackle global challenges
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and incorporation into a clinical diagnostic lab under ISO-1705 procedures. The fellow will learn and contribute to the experimental design, data analysis and troubleshooting. The fellow will present
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Machine Learning Group, Department of Engineering, CambridgeMLG Cambridge About Us News Research Publications People PhD Admissions Blog Latest News Papers with MLG authors to appear at ICML and
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aims to improve electrodialysis (ED) for REE separation by developing advanced membranes and integrating AI-driven optimization techniques. By combining materials innovation with machine learning
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leading and managing health services research and evaluation projects • Experience conducting quantitative research, including design and collection of survey data, processing and analysis of large data
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Job Description Job Alerts Link Apply now Research Fellow (Department of Architecture) University-Level Unit: College of Design and Engineering Faculty/Department-Level Unit: Architecture Employee
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of communications and marketing, and take initiative in a professional environment that encourages learning and innovation. What You’ll Do: Collaborate directly with your sponsor and their team on communications and
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The post holder will design and synthesise small molecules aimed at developing new therapeutic strategies for ASS1-deficient tumours. Your work will develop important structure–activity relationship (SAR