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will be based at the University of Cambridge in the Department of Materials Science and Metallurgy as part of the Structural Materials Group. The Structural Materials Group is a diverse and dynamic
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and dynamic research team working across aerospace, automotive, energy, defence, and biomedical sectors. The groups expertise includes alloy design, microstructure-property relationships, phase
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join a dynamic, interdisciplinary research team that will begin by characterising conventional membranes using our recently developed humidity-controlled terahertz time-domain spectroscopy (https
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Employers and members of the Business Disability Forum and Stonewall University Champions Programme. Cranfield Doctoral Network Research students at Cranfield benefit from being part of a dynamic, focused and
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with engineering, physics, mathematics, acoustics, fluids, electronics or instrumentation background. Prior experience in computational modelling is beneficial, but not mandatory. Similarly, experience
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health. You will develop and apply cutting-edge machine-learning techniques to identify the most informative indicators of ecosystem change and use them to build dynamic Bayesian network (DBN) ecosystem
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excellent understanding in power system dynamics, power electronics and control. Experience in working with power systems dynamic simulation will be helpful, but not necessary to apply for the position. How
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automation, and mission-critical communications. A key challenge in cell-free massive MIMO is maintaining high performance under dynamic channel conditions, hardware imperfections, and potential adversarial
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programme. It is led by inaugural Director Professor Michael Kenny and Professor Diane Coyle, Bennett Professor of Public Policy. Applications are invited for a Research Assistant/Associate position in
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of tomorrow and creating novel solutions to major global challenges. Our community is made up of 120 nationalities, 14 000 students, 400 professors and close to 5000 faculty and staff working on our dynamic