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Full time, fixed term position for 3 years. Located on the Camperdown Campus at the School of Physics Opportunity to lead cutting‑edge experimental work in superconducting qubits Base Salary
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25 Feb 2026 Job Information Organisation/Company UNIVERSITY OF SYDNEY Research Field Physics Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application Deadline 29 Mar
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to early pilot-scale operation, with a strong emphasis on: High-cell-density and fed-batch cultivation Media and feeding strategy optimisation Process robustness and reproducibility Scale-down and early
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 1 month ago
experience in: Radial velocity, stellar, and/or exoplanet spectroscopy studies; and/or astronomical instrumentation or observing programmes Machine learning in physical science, using Jax, PyTorch, and/or
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Full time, fixed term for 3 years. Located on the Camperdown Campus at the School of Physics Collaborate with industry partner Cortical Labs Base Salary Academic Level A, $109,263 - $121,054 + 17
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metal matrix composite (MMC) coatings. You will help fill critical knowledge gaps in process monitoring, optimisation, and control for laser cladding, contributing directly to the development of a cost
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Multiple, 2-year or 3- year full time, fixed term positions, located on the Camperdown Campus at the School of Physics Opportunity to make valuable contributions to research in single junction and
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11 Feb 2026 Job Information Organisation/Company MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA Research Field Mathematics Physics Researcher Profile Leading Researcher (R4) Application Deadline 10 Mar
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composite (MMC) coatings. You will help fill critical knowledge gaps in process monitoring, optimisation, and control for laser cladding, contributing directly to the development of a cost effective
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seeking applicants with experience in: Radial velocity, stellar, and/or exoplanet spectroscopy studies; and/or astronomical instrumentation or observing programmes Machine learning in physical science