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. Currently available topics, application and more information: https://phdquantumgrenoble.univ-grenoble-alpes.fr/phd-application/available-phd-subjects PhD subjects (full list available via the attached link
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Superior Técnico, Portugal and 27 associated partners (from 10 countries) Format: double PhD degree, granted by two universities in Europe; see the list of main partners: https://www.eu4greenfielddata.eu
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of vibration along the track and in neighboring buildings, aimed to design vibration mitigation measures and to perform environmental impact studies. Parametric studies, design optimization, and stochastic
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PhD Positions Application Deadline 27 Jan 2026 - 23:59 (Europe/Lisbon) Country Portugal Type of Contract Other Type of Contract Extra Information Unfixed term employment contract Job Status Full-time
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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 14 days ago
of these microstructures, influenced by the nature of the materials and the welding parameters, is a major challenge for the future optimization of NDT methods. In this context, this PhD project aims to develop virtual
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Electrical Power Engineering and Mechatronics. The Proposed PhD thesis topic: “ AI-Driven Battery Life Optimization for V2X-Enabled Software-Defined Vehicles ” Supervisors: Sup. Researcher Dr. Hadi Ashraf Raja
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: University of Nottingham Industrial partner: AstraZeneca Application deadline: 10 March 2026 Start date: October 2026 (or as soon as possible thereafter) Funding: Fully funded IDLA PhD studentship supported by
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of Organic Chemistry of the University of Chemistry and Technology (UCT) in Prague is looking for a PhD student in Organic/Medicinal Chemistry. Synthesis of antimetastatic compounds targeting actin
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on untapped potential of THz and optical wavelengths alongside existing radio technologies. This PhD position focuses on Dynamic Network Architectures and Control for Tropospheric and Cell-Free Networks. You
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design next-generation computer architectures for running large AI models on embedded and edge systems under strict timing, energy, and memory constraints. You’ll explore hardware-aware optimization and co