184 quantum-engineering "https:" "https:" "https:" "U.S" positions at Monash University
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statement of interest Academic transcript Applications Close: Sunday 1 March 2026, 11:55pm AEDT Minimum entry requirements: https://www.monash.edu/admissions/entry-requirements/minimum Research webpages
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they fulfil the criteria for Masters by Research & PhD admission at Monash University. Details of the relevant requirements are available at https://www.monash.edu/engineering/future-students/graduate-research
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, Farshid, Global Temperatures and Greenhouse Gases: A Common Features Approach (September 30, 2019). Available at SSRN: https://ssrn.com/abstract=3461418 or http://dx.doi.org/10.2139/ssrn.3461418 Fitzgibbon
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area Software Engineering The objective of this project is to design automated approach to detect bugs in various software, e.g., compilers, data libraries and so on. The project may involve LLMs
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optoelectronics, green energy, and fundamental quantum optics. As a member of my group you will have the opportunity to work with my DECRA sub-group leader Dr. Haoran Ren, and also with my research team at Imperial
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to life in breakthrough experiments—please reach out. "Quantum nanophotonic chips" "Structured-light imaging and spectroscopy” “Meta-optics and meta-waveguides" "2D materials and Lightwave valleytronics
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). "Statistical field theory applied to complex networks” "Quantum geometrogenesis – Graph theoretic approaches to building spacetime” web page For further details or to discuss alternative project arrangements
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are supported by quantum mechanical theoretical formalisms. Our fundamental findings yield promise for future applications in electronics, optoelectronics, spintronics, information processing and storage, sensing
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Jets" "Strings in Quantum Chromodynamics" "Topics in Heavy-Quark Physics" (with Prof Ulrik Egede) List of Past Projects I have supervised (3rd-year, honours, and PhD). web page For further details
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Multi-View Learning in CV and NLP Robust Active Learning Under Distribution Drift Data-Efficient Deep Learning for De Novo Molecular Design from Analytical Spectra Hybrid Quantum–Classical Algorithms