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candidate to carry out the following functions: Growth and static characterization of novel nanomaterials Characterization of dynamical processes and control with optical methods Develop experimental laser
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from Rolls-Royce plc. This fully funded PhD project, with support from a leading industrial partner, will explore the development of next-generation intelligent sensing and data analysis techniques
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ambitious AI Methods for Implementation Science (AIM-IS) program. The AIM-IS program brings together an international team of leading scholars and collaborators to develop a framework, toolkit, and reporting
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Infrastructure? No Offer Description Start date/duration 15.09.2026 for 20 months Job profile: Your responsibilities: Independent research into tools for secure software and systems development, in particular
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for UK Home students is available at the University of Bedfordshire to develop cutting-edge multimodal AI technologies that could transform the early detection of neurodevelopmental disorders and improve
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) for tape-out. Develop PIC architectures and components for multiplexed spectral processing in silicon nitride devices in the visible/near-infrared. Develop and support internal fabrication of low-loss
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telecommunications, transportation, and emergency response systems. The overarching project will develop solutions for resilience against communication jamming, backhaul failure, core network failure, and extended
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An exciting job with an important mission in society Developing tasks in a strong and international professional environment Career guidance and follow-up during the PhD period Open and inclusive working
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-intenSIve industries with REnewable synthetic fuels) is a Marie Skłodowska-Curie (MSCA) Doctoral Network, designed to train the next generation of specialists in e-fuel utilization. DESIRE will equip 15 PhD
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infrastructure. Accurately predicting chloride transport and binding within concrete is therefore essential for improving service-life assessment and durability design. The research aims to develop a robust