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on representation, compression, learning, and inference for classical and quantum data exchanged through classical and quantum networks. The objective of the PhD study is to explore and address research and design
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, compression, learning, and inference for classical and quantum data exchanged through classical and quantum networks. The objective of the PhD study is to explore and address research and design challenges
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, data compression, data quality, adaptive sampling, adaptive transmission, low energy consumption The PhD project has the working title Embedded signal processing for wireless underwater sensors. This is
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the project/work tasks: Keywords: Onboard processing, data compression, data quality, adaptive sampling, adaptive transmission, low energy consumption The PhD project has the working title Embedded
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flow regime ranging from steady laminar to unsteady turbulent configurations, there is also potential to extend the analysis to compressible flows and structural analysis. This research is highly
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efficiency. However, their complex behavior under combined loading conditions—compression, bending, shear, and torsion—poses significant challenges for both design and long-term performance monitoring
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change in ultrafast optics pushed, among others, by DESY, one of our research topics focuses on the development of ultra-short pulse Ytterbium lasers employing multi-pass cell post-compression. In close
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PhD Studentship: Secure By Design Datasets – Distillation and Privatisation for Future Collaboration
synthetic dataset that both obfuscates and compresses while remaining as true as possible to the sensitive historical data. Academic Institution This is an opportunity to join the Centre for Vision, Speech
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Status: Closed Applications open: 1/07/2024 Applications close: 18/08/2024 View printable version [.pdf] About this scholarship Description/Applicant information Project Overview Proton-conducting
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compression could be minimized, thereby reducing material fatigue and prolonging service life. Candidate will be carrying out research activities under the guidance of a vibrant supervision team across multiple