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the programme. The PhD student/researcher will be a fellow of ModConFlex https://modconflex.uni-wuppertal.de/en/ , a Horizon Europe Marie Skłodowska-Curie Doctoral-Training-Network (HORIZON-MSCA-DN-2021
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. Despite some success stories of the use of ultrasound/AE-based technologies for CM of low-speed bearings, high investment cost for hardware and software is the main bottleneck in adopting these technologies
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hands-on work, access to advanced testbeds and software-defined radio platforms, and training in adjacent disciplines such as signal processing, AI for navigation, integrity monitoring, and sensor fusion
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part of the EU-funded HUM.AI.N-ACCENT Doctoral Network, an interdisciplinary consortium of 13 labs and 24 partners across Europe, Canada, and the US. The successful candidate will benefit from
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instructions and clearly document issues/errors in data Ability to define problems, propose solutions, and implement them after consulting with supervisor Following training period, ability to work independently
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Research theme: "Next Generation Wireless Networks", "Signal Processing", "Machine Learning" UK only How to apply: uom.link/pgr-apply-2425 This PhD project aims to design novel resource allocation
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human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and five centers and institutes that focus
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team of engineers, analysts, and software developers. GAC works to develop and apply state-of-the-art energy system modeling techniques, software, and simulations for breakthrough engineering and techno
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of HDR UK-funded PhD students, with outstanding networking opportunities with fellow students and colleagues located across the 4 nations of the UK. HDR UK’s mission is to unite the UK’s health data
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coalitions for delivering reliable, low-carbon energy services. Collaborating closely with UK Power Networks, SSE Energy Solutions, and the University of East London, you will develop robust economic Model