583 phd-studenship-in-computer-vision-and-machine-learning PhD positions in United Kingdom
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, and space hardware. This PhD research aims to develop a comprehensive Mode Selection Framework for Reduced Order Modelling (ROM) in Structural Dynamics—using machine learning to build robust
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Powertrain and Fuels (CAPF) at Brunel University of London invites applications for a Research Assistant / PhD position as part of an EU MSCA Doctoral Training Grant. This position focuses on investigating
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for Consumption Insights. How to apply More general information on Lancaster University’s PhD Programme in Marketing is available at www.lancaster.ac.uk/lums/our-departments/marketing/phd . Details of the ESRC
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Deadline: 31 August 2025 A fully funded 3.5 year PhD position is available to work on the project titled “Scalable benchmarking for digital quantum computers based on blind testing”. This position
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emerging photonic microdevices promising to revolutionise computer, communication, and sensing technologies must be performed with unprecedented picometre (one-hundredth of the atomic size) precision
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and/or prior experience with space propulsion systems will be seen as an advantage but is not essential. This PhD studentship is part of the Rocketry Research, Teaching, and Training (R2T2) program and
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models, making the use of data-driven approaches a promising direction. This PhD project will investigate the use of data-driven and machine learning approaches, both measurement based but also model based
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scientists on site and around 300 researchers in Vienna. The Brukner group currently consists of an international team of 9 young researchers (Master, PhD, and Postdoc levels). For more information, please
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scientists on site and around 300 researchers in Vienna. The Brukner group currently consists of an international team of 9 young researchers (Master, PhD, and Postdoc levels). For more information, please
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Dr Sendy Phang. The student can gain experience and skills in a range of topics, such as Artificial Intelligence and Deep Learning, nanofabrication, computational modelling, metamaterial design, and