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will be jointly supervised by: Dr Dominik Leichtle, School of Informatics, University of Edinburgh Dr Elham Kashefi, School of Informatics, University of Edinburgh Dr Theodoros Kapourniotis, National
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fees for the period of the relevant programme as outlined in the offer letter (usually three years). CSC will provide living allowances as prescribed by the Chinese Government, and will cover the round
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Supervisors: Dr Jun Jiang (Reader), Mechanical Engineering Department Deadline for application: 30/10/2025. Early submission is encouraged. Funding mechanisms: Fully funded by Imperial College, IDLA
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of Europe’s leading academic departments of population health sciences. The post will suit researchers interested in understanding computers energy usage to improve carbon footprint monitoring and reduce the
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of medulloblastoma biology, focussing specifically on tumour metabolic targets. You will develop and support the INSTINCT-MB. programme through the provision of experimental, analytical and bioinformatic expertise
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mitigation strategies to prevent performance losses due to these impurities. We will explore both experimental techniques as well as computational models to provide feedback for designing higher efficient
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The funding provider: Health Data Research UK Subject areas: Wider Data Science Field, Maths and Computer Science Project start dates: 1st October 2025 ** (Please see the note below regarding
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! The interaction between terahertz (THz) radiation and the collective vibrational modes of biological macromolecules is an emerging field in physical chemistry. Terahertz radiation can be exploited to studying
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scholarship is suitable for students with a background in Engineering, Mathematics, and Computer Science. Students with interests in machine learning, deep learning, AI, intelligent decision making
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Background Earthworms are synonymous with our notion of beneficial soil biology playing a key role in maintaining a healthy functional soil. Earthworm populations are estimated to have declined by a