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with an increasing degree of autonomy as skills and experience develop. The Research Assistant will contribute to a specialised research program in quantum information theory and quantum optics, with a
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in quantum information theory and quantum optics, with a focus on quantum channel discrimination for high-resolution spectroscopy and AC field sensing. The project aims to develop theoretical
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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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for fusion components. This framework foresees two building blocks: high-fidelity Computational Fluid Dynamics (CFD) simulations of boiling flows within complex geometry using opensource software and cutting
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and how they lead to electrochemical failures under low and high voltage bias. The project will also include the development of secondary electrochemical models as digital twins. This PhD project is
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to evolve classical communication networks to support both traditional data and the unique requirements of quantum information systems (https://www.classique.aau.dk). CLASSIQUE will address a suite of
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of two-dimensional quantum fluids such as superfluid helium and Bose–Einstein condensates. This PhD forms part of an international research project in collaboration with theoreticians at the University
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engineering, physics and applied mathematics. You should have experience in one or more of the following: numerical methods, high-performance computing (HPC), Computational Fluid Dynamics (CFD), applied
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of the following: numerical methods, high-performance computing (HPC), Computational Fluid Dynamics (CFD), applied mathematics, physics, engineering or subsurface flow modelling. Enthusiasm
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Join a world-leading research group as a PhD student in Quantum Nanoscience, where you will be working on the cutting edge of quantum charge transport phenomena in biological nanowires. Job