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Field
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) in computer science, artificial intelligence, data science, applied mathematics, physics, electrical engineering, or a related field. You have a solid background in machine learning; experience with
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This project develops quantum-AI tools to optimise urban hydroponic food systems and evaluate their therapeutic impact on student well-being. The expected outcome is to create quantum-reinforced AI
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in symplectic topology, mirror symmetry, geometric topology, dynamical systems, algebraic geometry, number theory, and mathematical aspects of quantum field and string theory. IBS-CGP is located
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science and engineering. The faculty engage in fundamental and applied research and education in lasers, optical fibers, semiconductor and integrated photonic devices, nonlinear and quantum optics, imaging
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includes system operation, continued development, and performance optimization. The successful candidate will collaborate closely with the quantum metrology group at the University of Bonn and the geodetic
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generative AI framework that utilizes machine learning predictions and quantum chemistry simulations to design stable, synthesizable, high-performance molecules. The framework will integrate multi-objective
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Chair of Biological Imaging 02.02.2026, Academic staff We now seek a highly qualified and motivated PhD student (f/m/x) to drive the development of a novel quantum enhanced microscope. The Institute
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I supervise a wide range of PhD projects on experimental research into the electronic properties of novel quantum materials including topological insulators, graphene, and other atomically thin two
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applications. Moiré metamaterials — engineering electronic and topological textures in twisted and strained heterostructures. Tuneable quantum phases — superconductivity, ferroelectricity, and correlated
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an ARC Discovery Project in conjunction with support from Curtin University. The purpose of the scholarship is to support a PhD student to carry out research in quantum collision theory. Currently