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Field
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stochastic differential equations (SDEs); Extending recent quantum simulation techniques to accommodate non-physical processes found in generative diffusion modeling; Demonstrating a prototype of the quantum
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for modeling unprecedented electromagnetic phenomena, using languages such as C++ and Python. Formulate new theories pertaining to EUV generation, obtained ab initio from Maxwell’s equations and quantum
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features in alloys, to aid future alloy design. The UNSW team, lead by A/Prof Patrick Burr, will provide the modelling contributions, and the team at USyd, led by Prof Julie Carney and Dr Ranming Liu, is in
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multiscale smart surfaces for high pressure die casting purposes. The duties that are required for this specific role includes: Multiscale multiphysics modelling and analysis of engineering surfaces
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devices, and edge computing platforms. Deploy machine learning models to enhance process control and system responsiveness. Collaborate with industry partners to identify research challenges, co-develop
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areas within Energy, Climate and Environment and Regional Growth, and integrates the researchers from the Electrical Power Systems (EPS) research group (RG) and Applied Modeling and Control (AMOC) RG
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Requirements: PhD degree in Electrical Engineering or related subjects. Expert knowledge in power system modeling and simulation. Research experience with power system operation and optimization. Excellent
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. Literature review of technologies and commercial market scanning. Modelling, simulation and data management. Design and analysis of hardware and software. Coding, debugging, and troubleshooting. Testing
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application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal
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field is generated. Using a numerical geodynamo simulation as a benchmark, you will undertake a thorough investigation of both local and global PINN reconstructions of the modelled core using sparse