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Field
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filled. This fully funded PhD explores AI-native and sensing-aware wireless systems where communications and sensing are co-designed end-to-end. You will unify modern machine learning, statistical signal
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integrate multiple signals during communication (e.g., using insights from psycholinguistics and neuroscience to inform computational models of multimodal language processing- Building AI agents that engage
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PhD fellowship at the Copenhagen Center for Glycocalyx Research at the Department of Cellular and Mo
dissecting how protein and glycan assemblies drive signaling and cell communication. Develop precision tools to selectively target disease-relevant assemblies, opening new therapeutic opportunities in cancer
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frequency combs targeting their application in optical communication systems, dual combs spectroscopy and fibre-sensing. The PhD student will participate in an international team, consisting of 15 PhD
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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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their application in optical communication systems, dual combs spectroscopy and fibre-sensing. The PhD student will participate in an international team, consisting of 15 PhD students at 5 universities and one
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building UHV systems. Experience in simulating in COMSOL or similar programs. A strong grasp of written and spoken English. Fluent in a computer coding language (python or Matlab or C++ or etc
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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a PhD stipend in the field of Quantum Information Processing in Networks. The stipend is
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contains more than 60 pages of guidelines in Mandarin Chinese clearly stipulating all the requirements and the procedure for application in general. !!! Point of attention: Candidates cannot simultaneously
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econometrics, high-dimensional statistics, machine learning, nonparametric statistics, portfolio theory and stochastic processes. Our PhD program comprises a 2-year MPhil Phase with courses aimed at building a