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economic, social and cultural benefits. For more information please visit: https://www.brunel.ac.uk/about/our-history/home The Department of Computer Science at Brunel where this project will be conducted
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population genetics, bioinformatics, computational biology, statistics or probabilistic machine learning and computer science. Experience of working with large genotyping or sequencing data sets A proven
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of composite materials and structures. The research will be conducted within the Computational Engineering & Design Group of the Department, on a fixed term - full time contract for a duration of 20 months
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Are you passionate about cutting-edge acoustics research and sustainability? Do you want to help shape the future of noise control in energy infrastructure? Join us at the University of Southampton as a Research Fellow in the exciting interdisciplinary project “Tone Down: Objective and...
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A Research Fellow position is available in the group of Professor M. J. Rosseinsky OBE FRS to work in a team of computer scientists and materials chemists funded by the AlChemy. AI in Chemistry Hub
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. Using our modelling frameworks which capture metabolic and gene expression constraints and recently benchmarked computational tools for systems identification and model calibration, you will develop new
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the generosity of Trinity College, Cambridge, will be in one of the following subject areas: Pure Mathematics, Applied Mathematics, Computer Science, Mathematical Physics. 2. The Lumley Fellowship, endowed through
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to pursue opportunities to broaden your skills portfolio You should provide evidence of being able to work independently and as a part of a team Grow in your career with tailored training programmes
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the Project PI. ii. Meeting the deliverables by carrying out the computational simulations and experimental studies planned for under the scope of work of the projects within the timeframe to meet the
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This is a Research Fellow post to support the NIHR funded programmes OPtimal Timing of Induction of labour to improve Maternal and perinatAL outcomes (OPTIMAL): An individual participant data meta