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Exciting Fully Funded PhD: Unlock the Future of Turbo Gas Seal Technology with John Crane Ltd! School of Mechanical, Aerospace and Civil Engineering PhD Research Project Competition Funded Students
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Passionate about renewable energy and engineering? Want to tackle sustainable hydrogen challenges? The University of Sheffield’s Leonardo Centre, a global leader in tribology, invites a motivated
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Engineering, Physics or Materials Science Excellent English written and spoken communication skills The following skills are also highly desirable: Ability to program in Matlab, Python or similar Strong
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Computation and Data Driven Design of Materials for Onboard Ammonia Cracking This exciting opportunity is based within the Advanced Materials Research Group at the Faculty of Engineering which
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Are you ready to push the boundaries of engineering innovation and accelerate the world’s transition to carbon-neutral energy systems? Join the Thermofluids Group in the School of Mechanical
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Recently, many councils in Wales started using single transferable vote (STV) method for counting ballots. While counting plaintext ballots using STV method is straight forward, but a rank-based ballot may leak the voter’s preferences if published publicly in plaintext, as the ranking order can...
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materials. The computer modelling of LSP remains challenging due to its multi-physics and multi-scale nature. The dependency of the process on the shape of the laser pulse, its energy, ablation layers etc. is
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This PhD project will focus on the development of scalable and sustainable dielectric deposition processes tailored for WBG semiconductors, with an emphasis on interface engineering to optimise
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create a computational tool based on experimental input, simulated data, and machine learning methodology to extract 3D atomic structure information from 2D identical location STEM images. STEM image data
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at the intersection of machine learning, bioinformatics, and computational pathology. Project Overview: Integrating histopathological imaging with omics (e.g., transcriptomics, genomics, proteomics) holds tremendous