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-driven machine learning approaches, they will improve our understanding of nutrient flows in agricultural landscapes. The postdoc will contribute to the development of databases representing the current
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talented scholars and researchers from around the world are tackling global issues and making a difference to people's lives. We believe that inspiring our people to do outstanding things at Durham enables
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with fabrication engineers to translate physical processes into machine learning models, design and train deep learning architectures, and evaluate their ability to generalise across different process
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for their actions and possibilities in the host country. The Urban Development and Mobility department brings together researchers from a number of different disciplines (including geography, economics, sociology
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different approaches. • Construct mathematical models that capture meaning problem formulations, and identify why existing methods are insufficient. • Develop solutions in the form of algorithm design
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Centre for Population Research, School of the Environment. The role will support the development of a new population projection model to examine the short and long-term impacts of migration policy
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Development of refractory and ductile high-entropy
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15th June 2026 Languages English English English PhD Research Fellow in Information and Communication Technology for Development (ICT4D) Apply for this job See advertisement About the position A
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disorder (ASD), structural and anatomical brain differences associated with ASD, gender differences in ASD, and social, language, and cognitive development in infants and young children. The fellowship
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Swanton Cancer Evolution and Genome Instability Laboratory. This lab studies how cancers evolve in the body to spread and become resistant to therapy and find new ways to treat them more effectively The