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, construction sites, aerial inspection of aging infrastructure, multi-robotic search and rescue, multi sensorial fusion and multirobot coordination, including multirobot perception, decentralization and mission
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. The Department of Structural Engineering is one of eight departments in the Faculty of Engineering . Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/297237/phd-candidate-in-computat
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prediction algorithm and molecular dynamics simulations. For more details, please view https://www.huilingshaogroup.com/. We are looking for a Postdoctoral Research Fellow to design and execute independent and
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sustainability. You will be registered on the 4‑year SETU structured PhD programme and located in the Department of Culinary Arts, Hospitality and Tourism in the Faculty of Arts and Humanities (SETU Waterford
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. The GLYCOCALYX Network will train 15 PhD Fellows in chemistry, physics and biology methods and concepts required to resolve the dynamic organisation of glycocalyces. The project will establish a new level of
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, with particular emphasis on exact and nonlinear general relativity, geometric and mathematical analysis of the Einstein equations, analytical and numerical approaches to strong-field dynamics
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; Giauque et al., 2023). The PhD work is structured around the following key milestones: 1. Implementation and validation of real-gas model: Develop, verify and validate real gas equations of state capable
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research, industrial exposure, and international mobility, alongside structured training in transferable and professional skills. Project description Based at the University of Southampton, this PhD project
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10 Mar 2026 Job Information Organisation/Company Nantes Université Department CEISAM UMR-CNRS 6230 Research Field Chemistry Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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fields About Our Team: The Aerodynamic Technology & Energy Systems department conducts advanced research in airflow and structural dynamics, and develops innovative wind energy technologies. We apply deep