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Project details: Surface features are important in additively manufactured parts. While additive manufacturing technology has made great strides in the realisation of complex shapes, topologies and
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will have the opportunity to work closely with researchers on engineering design and management in the Exeter Digital Enterprise Systems (ExDES) lab and Queen’s University Belfast to Explore novel
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Department of Plant and Environmental Science, Section for Crop Science invites applicants for a PhD fellowship in Growth curve analysis for faba beans. The project is part of the research project
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device. The project would be ideally suited for someone with a strong chemistry or closely related background and an interest and in analytical and biological chemistry. Supervisor:Dr Nota Zarmpi Entry
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computer science, engineering, information systems, economics, management, law, and other fields, united in pursuit of sustainable technologies that positively impact society. For more information, please visit our
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, the adoption of AI in project management remains in the nascent stages. This PhD project will critically investigate how AI is shaping the management of projects and project studies. It aims to generate new
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approaches, including principal component analysis and machine learning, to handle multivariate datasets. Prior experience in data science is not essential; the successful candidate will be supported through
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on the esophagus, which has recently been considered as an immune organ, and the pathways leading to eosinophilic esophagitis. Your position The aim of the project is to understand the function of macrophages in
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stubble management. This PhD forms part of a collaborative project between Adelaide University, Murdoch University and the University of Queensland, funded by the Grains Research and Development Corporation
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DTU Management’s Management Science division. The project is led by Professors Stefan Ropke and Richard Lusby and involves international collaboration with leading researchers in machine learning and