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" with A/Prof Amanda Karakas "Proton ingestion and neutron capture" with Dr Simon Campbell "Tackling the Lithium mysteries with telescope data and stellar models" with Dr Simon Campbell web page
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Dr Alireza Sadri) "Geometric-flow across diffraction patterns in 4D scanning transmission electron microscopy" (with Dr Timothy Petersen and Prof Michael Morgan) "Prospects for atomic-resolution
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I supervise projects in particle physics. My main emphasis is on phenomenology, comparison of predictions with experimental measurements. I follow developments in flavour physics: weak decays of mesons and baryons and their role as indirect probes for physics beyond the standard model. I also...
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My interests span a wide range of topics in theoretical physics, including: geometric phases, topological defects in matter and radiation fields, inverse problems (scalar and vector tomography), singular optics, using electrons, atoms and light and the exploration of complex systems using...
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semiconductors" (with Prof Michael Fuhrer) web page For further details or alternative project arrangements, please contact: ,mark.edmonds@monash.edu.
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My research focusses on understanding stars: their evolution and chemical composition, and how they move throughout our galaxy. Most of what we know about the universe comes from starlight, but the detailed interaction between matter and light in the extreme conditions of stellar interiors is...
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to forecast disease burden under alternative vaccination schedules and to assess the impacts of completed vaccination programs against baseline transmission counterfactuals. This project will build on existing
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algorithms formulating industrial problems to make them accessible to quantum algorithms mapping quantum algorithms to specific use cases and applications optimizing algorithms in the context of such use cases
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quantum algorithms formulating industrial problems to make them accessible to quantum algorithms mapping quantum algorithms to specific use cases and applications optimizing algorithms in the context
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Mixed-Integer Programming (MIP) solvers are very powerful tools to solve combinatorial problems that arise in many industries. Modern MIP solvers usually run a sequence of algorithms to solve