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Field
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dynamic, research-intensive environment. You will collaborate with academic and industry partners, contributing to innovative projects that bridge cutting-edge theory with real-world deployment. Learn more
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to the decoherence and volatility. CLASSIQUE is organized into four research thrusts that rely upon interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics
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3 Mar 2026 Job Information Organisation/Company Universidade de Vigo Department T14 Signal and Communications Theory Research Field Engineering » Other Researcher Profile Recognised Researcher (R2
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. FeelGoodAI will be applied to the field of education, where learner mental health and well-being are major concerns. Multiple perspectives and constructs related to well-being underpin several theories from
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. Analysing graph data requires solving problems at the boundaries of machine learning, graph theory, and algorithmics. Your future tasks: You actively participate in research, teaching & administration, which
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, Spain) and Christoph Stampfer (RWTH Aachen, Germany). The successful candidate will join the Laboratoire Ondes et Matière d'Aquitaine (LOMA) in Bordeaux, within the condensed matter theory team
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in Ultrafast Science. The theory will be developed in collaboration with by young senior scientists at Universidad Autónoma de Madrid, Prof. R. Bello and A. Palacios. A few selected publications of our
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University of Science and Technology; Faculty of Electronics, Photonics and Microsystems (W12); Department of Field Theory, Electronic Circuits and Optoelectronics (K35) Laser & Fiber Electronics Group
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empirically grounded research that informs real-world policy and governance while advancing interdisciplinary theory on the role of households in sustainability transitions. Research Environment The PhD
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international conferences. h.Training: Develop mastery of stability theory, machine learning, reduced-order modelling and high-performance computing. The candidate must hold a Master's degree in Fluid Mechanics