182 computational-physics-"https:"-"https:"-"https:" Fellowship positions in Australia
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This PhD scholarship is funded by an Australian Research Council Industry Fellowship grant. It is a 3.5-year research training program. The ARC Industry Fellowship program aims to develop a strong
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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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· Part time fixed term until 2 March 2027 · Research Fellow role supporting research program in skin cancer prevention and treatment for high‑risk populations-including high risk kidney
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recognition for quality research outputs in the field of biological mathematics. Demonstrated mathematics and computer programming skills with experience in modelling infectious disease dynamics, population
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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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Zontians Service Activities – District 22 Advocacy – District 22 Z Clubs and Golden Z Clubs Archived District Service Activities Archived District Awards Program District 22 Clubs Member Resources Club
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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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research Eligible student type Domestic and international students Eligible study stage Current study, Alumni Benefit duration One or more years Summary The Branco Weiss Fellowship is a postdoctoral program
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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
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in supporting Australia’s transition to green ironmaking by developing a quantitative framework that connects impurity content, process parameters and microstructural evolution to scalable, low