264 computational-physics "https:" "https:" "https:" "https:" "The University of Edinburgh" Fellowship research jobs in Australia
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
the Science in Australia Gender Equity (SAGE) program and a platinum member of the Australian Network on Disability. We welcome applications from people of all backgrounds and identities and from individuals
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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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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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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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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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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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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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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