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offers a PhD student position (all genders) in Accelerator Physics Reference number: 25.141-6680 for a contract starting at the earliest possible date. Our project / Your tasks: The position is embedded in
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to world-class science. In cooperation with the Johannes Gutenberg-Universität Mainz the LINAC department offers a PhD student position (all genders) in Accelerator Physics Reference number: 25.141-6680
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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
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the umbrella of the CNRS and the University of Paris-Saclay. The laboratory's research focuses on nuclear physics, high-energy physics, astroparticles and cosmology, theoretical physics, accelerators and
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accelerators originally designed for artificial intelligence. These accelerators achieve exceptional performance by using low precision arithmetic, which is sufficient for machine learning tasks but much too
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also a way to accelerate the strength development, shorten the curing time, and improve the performance of cement-based materials. The high temperature action on recycled concrete can lead to the
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Description Our research team invites applications for a fully-funded PhD position at the intersection of reconfigurable computing, accelerators, and simulation tools. This position aims to investigate
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Antimicrobial resistance (AMR) is one of the most pressing global threats to human health, agriculture, and food security. The misuse and overuse of antibiotics have accelerated the natural
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Learning heat: Physics-Informed Fourier Neural Operators for High-Fidelity Thermal NDE Modern non-destructive evaluation (NDE) increasingly relies on AI models that can reason with physics, scale
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, where the default token-by-token prediction mechanism is slow and prone to "hallucinating" physically invalid configurations; and the prohibitive adaptation costs of fine-tuning billion-parameter models