192 computational-physics-"https:"-"https:"-"https:"-"https:"-"U.S" Fellowship positions in Australia
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working arrangements, and genuine career progression opportunities via the academic promotions process. Questions? For more information about this opportunity, please contact Associate Professor Aideen
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weeks of paid parental leave, 17.5% annual leave loading, flexible working arrangements, and genuine career progression opportunities via the academic promotions process. Questions? For more information
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or more years Summary The Banting Postdoctoral Fellowships program is Canada's most prestigious postdoctoral award, and builds world-class research capacity in the areas of health sciences, natural sciences
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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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weeks of paid parental leave, 17.5% annual leave loading, flexible working arrangements, and genuine career progression opportunities via the academic promotions process. Questions? For more information
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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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· 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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research across the Torres Strait and Northern Peninsula Area. This role contributes to an NHMRC Investigator Grant and the broader Indigenous Health Promotion and Capacity Building program led by Professor
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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