721 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" positions at University of Sheffield
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Machine Learning Methods for Enhancing Autonomy of Unmanned Aerial Vehicles in Wildfire Detection and Localisation School of Electrical and Electronic Engineering PhD Research Project Self Funded
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the prediction of failure on modern composite structures. This research will benefit from excellent computing facilities, expertise in computer-aided engineering (CA2M lab), the available experimental facilities
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Modelling of Compressive Transverse Cracking on Composite Laminates School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr J L Curiel Sosa Application Deadline
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Multi-Material Laser Powder Bed Fusion for Next-Generation Additive Manufacturing School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr K Mumtaz Application
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Doctoral Network. Applicant qualifications: An Undergraduate or Master’s degree in Engineering, Mathematics, Computer Science, Physics, or a closely related discipline. Proficiency in programming using
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Quantum Dot Spin-Photon Interfaces for Photonic Quantum Technologies (C3.5-MPS-Brash)
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New Block Copolymer Additives for Next-Generation Aqueous Inkjet Ink Formulations (C4-MPS-Armes)
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recognition, and diarisation. About the School and Research Group You will be a member of the Speech and Hearing research group in the School of Computer Science at the University of Sheffield and an
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Machine Learning-Guided Discovery and Experimental Validation of Novel Antimicrobials Against Pseudomonas aeruginosa (S3.5-MPS-Soukarieh)
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Magnetic Nanodevices for Energy-Efficient Neuromorphic Computing (S3.5-CMB-Hayward)