402 computational-physics "https:" "https:" "https:" "https:" "Univ" research jobs in Australia
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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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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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-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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responsibilities will include: Research: Establish a research program, collaborate on research projects, seek and manage research funding, publish in reputable journals, utilize best practice research methodologies
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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
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Sciences at UWA. As the WA node of Plant SynBio Australia under Bioplatforms Australia and the NCRIS program, PSIC will serve as a hub for cutting-edge research capabilities in plant synthetic biology, and
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project, within our established research program in applied AI. You will work on shaping, developing, and evaluating a cutting-edge AI platform that enhances clinical decision-making. The research will be
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Fellowship Guidelines for details) This is a two-stage application process: Stage 1. EOI, and Stage 2. Full Application by invitation only. Applicants must identify an Academic Contact from their intended
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. Demonstrated computer skills, ie. MS office suite including spreadsheets. Experience/knowledge of qualitative research methods. Experience/knowledge of basic data science database programs, statistical software
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will streamline how experts and stakeholders process, interpret and access complex, high‑volume information, and unlock new capabilities in modelling, data integration and knowledge retrieval for current