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intelligent decision architectures, predictive analytics, and adaptive computational models that can operate in dynamic, uncertain, and high-stakes project environments. The appointee will conduct original
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projections. Demonstrated experience in working with large data sets. Strong programming skills (e.g. Python, R) and ideally experience in high-performance computing. Demonstrated ability to work in a team
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experimental effort, including superconducting qubit measurements, development of a cryogenic cosmic-ray detector, dilution refrigerator operation, and nanofabrication of radiation-resilient qubit designs, with
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or observing programmes Machine learning in physical science, especially with transformer models Jax, PyTorch, and/or Julia; with probabilistic programming languages; or with high-dimensional optimization and
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unlock Australia's vast critical minerals resources. We are seeking a qualified postdoctoral research fellow to join a team with an international reputation for producing high quality research outcomes in
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of storage technologies, which rely on either high-pressure compression or cryogenic liquefaction-both of which are energy-intensive, costly, and pose significant safety risks. Rux Energy (Rux) is addressing