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Field
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theoretical aspects of wave propagation and complex systems. Experience with optical experiments, numerical simulations, or computational modeling. Programming and simulation skills in MATLAB, Python, COMSOL
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physics and magnetic-confinement fusion. Demonstrated research experience in computational physics, numerical simulation, or scientific computing, with a track record of publication in peer-reviewed
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chemical engineering program in Australia. The School is committed to teaching excellence and our graduates are highly regarded and sought after by employers in Australia and overseas. The School is research
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of resistive switching mechanisms in meta/insulator/metal memristive materials Qualifications • PhD in Computational and Applied Physics • Proficiency using software for the simulation of atomic structure
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-based simulations in VR/AR to facilitate the acquisition of complex physical tasks. This includes real-time feedback loops, biomechanical modeling, and adaptive training environments. Social & Soft Skill
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, theoretical modelling and numerical simulations. The team focuses on model materials with controlled physical parameters, enabling quantitative comparisons between experiments, models and simulations, with
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and technologies. Knowledge of AI/ML is important, but the focus will be on the high-fidelity simulation environments, software networking bridges, and physical data collection architectures
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Full time, fixed term for 2 years with the possibility of extension Join the School of Electrical and Computer Engineering and contribute to pioneering research redefining CubeSat technology Base
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at least one of the following areas: sensor-based field or laboratory data collection, driving or traffic simulation, behavior-informed digital twins, machine or deep learning, or computer vision Excellent
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-time postdoctoral research positions in Professor Henrik R. Larsson’s theoretical chemistry and computational physics group at the University of California, Merced. Both positions will focus