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applications for a Postdoctoral Fellow with Professor Pragya Sur. Professor Sur’s lab focuses on research in high-dimensional statistics, machine learning theory, or more broadly, mathematical foundations of AI
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involves formalization in type theory and the mechanization of results using interactive theorem provers. The project welcomes a broad range of perspectives across functional-imperative programming
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closely with fabrication, materials synthesis and theory teams across the EXPRESS consortium, contributing to an integrated effort spanning materials discovery through to device demonstration. The role
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, especially the nonlinear parts such as current limitation function. Analyse the converter dynamic and stability under grid fault using impedance-based theory and develop an adaptive impedance reshape strategy
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to connect to the broader activities of the Monash Stellar Explosions group and its international collaborators in supernova theory, stellar evolution, nucleosynthesis, and multi-messenger astronomy
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Theory (DFT) calculations using established codes (e.g., VASP, FHI-aims). Demonstrated experience with traditional methods for modeling atomic site disorder, such as special quasi-random structures (SQS
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: Experience with developing efficient numerical algorithms and modifying electronic structure DFT or quantum chemistry software (e.g. Quantum Espresso, PySCF, GPAW), fluency with electronic structure theory and
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., probability, analysis), eager to conduct cutting edge research in the field of uncertainty quantification, in particular the theory and methods known as predictive Bayes. Predictive Bayes theory involves
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in numerical analysis, partial differential equations (PDEs), and scientific computing. Solid background in machine learning theories, with specific experience in Physics-Informed Machine Learning
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: Historical Fiction in Spanish America. They will also teach on the MA Critical Theory and contribute to first-year introductory modules in Comparative Literature, and they may be asked to undertake some