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to office, lab space, and specialist software Opportunities to attend international conferences (e.g., USA) Involvement in Cranfield’s Doctoral Network, providing training and networking across disciplines
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Background Network Rail operates several telecom networks which provide connectivity for various signalling systems. Therefore, the performance of telecoms assets is integral to how the railway system operates
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management experience across multiple industries, build an extensive professional network spanning academia and industry, and cultivate commercial awareness that enhances your career prospects. Alumni from
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to industrial clients such as Boeing, BAE Systems, Rolls-Royce, Meggitt, Thales, MOD, Bombardier, QinetiQ, Thales, Network Rail, Schlumberger and Alstom. Entry requirements Applicants should have a first or
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) under the supervision of Dr. Elina Spyrou . Summary of Project: Power systems are at the core of the transition to net-zero energy systems, and they have to transform in two ways. First, their generation
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Max Planck Institute for Solid State Research, Stuttgart, Hamburg, Halle, Dresden | Dresden, Sachsen | Germany | about 6 hours ago
research scientists who are leaders in their respective fields Join our network Becoming part of our interdisciplinary quantum materials community and our unique program will allow you to establish
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, critical for efficiency. A sophisticated numerical framework will be developed, coupling moving-mesh CFD with detailed chemical kinetics to evaluate advanced scavenging designs and low-temperature combustion
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Network (MSCA-DN) SCARPA - Sustainable and Circular Footwear Training Program, within the Horizon Europe Programme of the European Commission. SCARPA is a consortium of high-profile universities, research
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sensors, communicating over networks, to achieve complex functionalities, at both slow and fast timeframes, and at different safety criticalities. Future connectivity of the next generation of multiple
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computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading