538 computer-science-quantum-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" PhD positions in United Kingdom
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. Project proposals should assume utilisation of data from Crowdcube, Seedrs, and firm-level sources such as Companies House and Beauhurst, and consider use of natural language processing, computer vision
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requirements for the programme, IELTS Academic score of 6.5 (with no less than 5.5 in each component test area) or equivalent. The studentship is supported for three years and include full Home or International
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Sponsor/ Supporting Company: WMG – affiliated with Faraday Institution Eligibility: 2:1 or equivalent undergraduate in STEM (Masters Degree desirable) Start Date: Oct 2026 – intake The Battery Materials & Cells (BMAC) group at WMG, University of Warwick are looking for a well-qualified PhD on...
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is critical to enhancing the economics of large-scale offshore wind energy projects. Prediction of the localised turbulent wind conditions onset to each turbine location is a key input to determine
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Location: West Cambridge A position exists, for a Research Assistant/Associate in the Department of Engineering, to work on compressor aerodynamics. You would develop key technologies and designs
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ADAPT-AI is seeking passionate researchers and practitioners from diverse backgrounds to join our innovative doctoral training programme exploring how audiences experience and engage with creative
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-benefit infrastructure solutions to support long-term water security. Funded by School of Engineering, Newcastle University , this PhD studentship is part of the Water Infrastructure & Resilience (WIRe) CDT
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community, and support long-term societal impact. We welcome applicants from background, including but not limited to computer science, data science, engineering or mathematics, who are passionate about
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-leading research programme investigating key nuclear reactions for both fundamental physics and applications. The aim of the project is to establish new methods to measure properties of Auger electron
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necessarily require formal education in geotechnics. Applicants with a background in mechanical/materials engineering or alternatively mathematics/computer science with an interest in numerical modelling