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systems uses data to improve their own performance, understanding, and to make accurate predictions and has a close connection to applications. Project description This PhD project focuses on advancing
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) and heat for geothermal projects. Deep crustal fluid flow and the resulting fluid-rock reactions that mobilise heat and metals into the fluids are key to its potential as an economic resource. However
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) performed within the Electrical Energy Systems (EES) group of TU/e. Within the IES program, research is conducted into operation and planning of future sustainable energy systems, with an emphasis
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strength-to-weight ratios, making them central to the development of a more sustainable industry. However, under extreme environments and loading conditions (high strain-rate, temperature), these materials
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Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy | Austria | 12 days ago
data, strong compute resources, industry collaborations and mentorship aimed at publishing high-impact ML/medical-imaging papers and clinical impact. What you’ll work on Develop and benchmark novel
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and work on multi-commodity energy districts? The envisioned research is part of the research program Intelligent Energy Systems (IES) performed within the Electrical Energy Systems (EES) group of TU/e
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PhD Studentship in Aeronautics: How offshore wind farms and clouds interact: Maximising performance with scientific machine learning (AE0078) Start: Between 1 August 2026 and 1 July 2027
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(UTC) Type of Contract To be defined Job Status Other Offer Starting Date 13 Oct 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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Max Planck Institute for Gravitational Physics, Potsdam-Golm | Potsdam, Brandenburg | Germany | 12 days ago
research groups, and the application procedure, please visit the IMPRS website . The ACR and CRA research divisions at the AEI in Potsdam operate three high-performance compute clusters to model
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, medical image reconstruction principles and experience with high-performance computer simulations in physics would be beneficial Experience in working with medical imaging data, especially with PET, and