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and time. In this project we will model the ionosphere-ground system with a unique time-domain model which is developed in the group for ’Solar-Terrestrial Physics and Space Weather’ at the Department
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and time. In this project we will model the ionosphere-ground system with a unique time-domain model which is developed in the group for ’Solar-Terrestrial Physics and Space Weather’ at the Department
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inviting applications for a Doctoral Researcher (PhD Student) position in the field of Atmospheric Aerosol Physics and Chemistryat the Department of Technical Physics on the Kuopio campus. The position will
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AI researchers from ANITI, IMT and CERFACS, as well as with researchers/engineers in weather forecastings from the CNRM (Météo-France). Hybridization methods between neural networks and physical models
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knowledge and enthusiasm to help the network make important research breakthroughs. • Master’s degree in physics, computational physics, atmospheric science, atmospheric chemistry, high-energy physics or a
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constraints. Physics‑Informed Neural Networks (PINNs) embed PDE residuals and boundary conditions directly into training, while operator‑learning approaches provide mesh‑agnostic mappings from inputs to flow
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) at the University of Nottingham, funded by the UK government. There is a critical need to develop materials and coatings that can withstand ultra-high temperature (UHT) conditions while maintaining structural
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Thermally Sprayed Coatings for ablation and high heat flux conditions Background UK applicants are invited to undertake a 3-4 year, fully-funded PhD studentship (fees and enhanced stipend) within
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9 Apr 2026 Job Information Organisation/Company Czech Technical University in Prague Research Field Physics » Solid state physics Researcher Profile First Stage Researcher (R1) Positions PhD
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7 Apr 2026 Job Information Organisation/Company Technische Universität Dortmund Department Department of Physics Research Field Physics Computer science Geosciences Mathematics Engineering