187 computational-physics-"https:"-"https:"-"https:"-"https:"-"Caltech" Fellowship positions in Australia
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Food and Beverage Accelerator Program : Based in the Australian Institute for Bioengineering and Nanotechnology (AIBN) Full-time (100%), fixed-term lab-based position for up to 2 years Base salary
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: Essential criteria A doctorate (or will shortly satisfy the requirements of a PhD). The doctorate must be in a relevant discipline area, such as statistical machine learning, computational and quantitative
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/personal/carers leave per year Cultural leave and Flexible working options Attractive options for salary packaging Fitness Passport Employee Assistance Program Professional development support Well-equipped
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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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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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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
Sciences, Environment and Society, Mathematics, Physics, and Science Communication and is also home to a number of cross-disciplinary and specialist Institutes and Centres. Staff and students within the ANU
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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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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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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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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