410 computational-physics "https:" "https:" "https:" "https:" "Chalmers" research jobs in Australia
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Future Fund–supported program (2026–2030) to reduce addiction, self-harm, and mental ill health. The project integrates 20 years of binational cohort and cross-sectional data with administrative datasets
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presentation skills, with the ability to engage effectively with diverse audiences. Highly organised with strong planning, research, and computer literacy skills to manage research projects and administrative
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, Program Lead, Associate Professor and has no direct reports. Accountabilities: This is an identified position, and applicants must be an Aboriginal and/or Torres Strait Islander person. Confirmation
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promotions process. About You PhD in a relevant discipline (e.g., environmental science, hydrology, environmental engineering, pollutant modelling, or environmental risk assessment). Demonstrated expertise in
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research outputs, including peer-reviewed publications and presentations to academic and government stakeholders develop a coherent research program and an emerging research profile support and supervise
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Food and Beverage Accelerator Program : Based in the Australian Institute for Bioengineering and Nanotechnology (AIBN) Full-time (100%), fixed-term position through to December 2027 Base salary will
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across standard computing applications including word processing, spreadsheets and databases. Position description: PD - Research Assistant (522183).pdf To learn more about this opportunity, please contact
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School of Electrical Engineering and Computer Science Full-time (100%), fixed-term position for up to 3 years Base salary will be in the range $82,057.75 - $109,246.18 + 17% Superannuation (Academic
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-faculty connections with chemistry, maths, physics and engineering; along with academic staff and key partners whose work is based in the clinical or biotech space, this creates a naturally synergistic and
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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