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                8 Oct 2025 Job Information Organisation/Company École Polytechnique Fédérale de Lausanne (EPFL) Department School of Architecture, Civil and Environmental Engineering (ENAC) Research Field 
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                conferences; Actively participating and contributing to the PhD community of Fertile Soils and the Landscape Architecture and Spatial Planning cluster. You will work here The research is embedded within 
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                Particle Acceleration is looking for a PhD Student (f/m/d) Multimodal Reconstruction of Laser-Electron Accelerator Phase Space using Physics-Informed Deep Learning. Your tasks Understand the physical process 
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                develop (physics-informed) hierarchical graph neural network architectures that can capture the complexity of multi-scale urban energy infrastructures. The PhD will explore how these models can represent 
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                ) offering a secure start to the work. This PhD will be an inter-disciplinary, using expertise on meteorology and co-occurring hydro-meteorological hazards (Chen, Hillier, Bloomfield) and insurance industry 
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                Offer Description The work will be performed in the team Cascales (https://www.cascaleslab.fr ) of the Laboratoire d'Ingénierie des Systèmes Macromoléculaires (LISM). It is a joint PhD fellowship between 
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                architectures. PhD students can work on any of the topics spanned by the group, or on closely related areas that meaningfully connect to our research. We expect candidates to explain their research interests and 
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                -time basis for a duration of up to 3 years, with the possibility of part-time work. The position includes the opportunity to pursue a doctorate (PhD) at TU Clausthal. With these positions, we invite YOU 
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                diverse expertise and collaborative partnerships to foster innovative and socially engaged doctoral research. The award supports new and emerging themes across art and humanities, architecture, design, and 
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                One fully funded, full-time PhD position to work with Alessandro Suglia in the Embodied, Situated, and Grounded Intelligence (ESGI) group at the School of Informatics, University of Edinburgh