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) programme. It is also linked to the National Institute for Health and Care Research (NIHR) project ‘Improving primary health care for patients with non-communicable diseases during severe flooding in India
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under the supervision of Asst Prof Meng Xin from the Department of Civil and Environmental Engineering. This position is part of an exciting research programme aimed at developing generative AI tools
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the Department of Civil and Environmental Engineering. This position is part of an exciting research program advancing separation technologies (i.e., membrane and electrochemical) to solve pressing environmental
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; Geology; Health and Medicine; Mathematics/Statistics; Materials Science and Physics; Psychology and Psychiatry; Technology, Data, and Computer Science; and Zoology.
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Warwick Business School, The University of Warwick; | Warwick, England | United Kingdom | 23 days ago
master’s degree in Computer Science, Business Analytics, FinTech, Statistics, or a related discipline. Strong quantitative and programming skills, fluency in English, and excellent communication and
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technologies research in AIBN and at UQ. You will have research expertise in the use of computational chemistry and software development, with the capacity to apply these methods to research questions related
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agriculture. In this role, you’ll focus your research on improving field crop adaptive traits — from resource-use efficiency to yield performance — helping to address global challenges in food security and
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to ensure project deliverables are met. Any ad-hoc duties assigned by Supervisor. Job Requirements Master’s degree in Computer Science, Data Science, Civil/Construction Engineering, Engineering Systems
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About the role We are recruiting a Research Fellow to lead the team's work on zoonotic risk assessment and biosecurity. This is an emerging area as Artificial Intelligence capabilities are increasing. We have outlined strategies for improving surveillance for early detection of novel pathogens,...
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mathematics, geophysical fluid dynamics, and polar/environmental science, supported by excellent high-performance computing facilities. The Department of Mathematics and Statistics, in particular, is a vibrant