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or chemistry, or applied mathematics. Demonstrated evidence of computational modelling experience, including code development and data analysis. Ideally experience using one or more of the following: Molecular
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in the relevant discipline area, such as computational/theoretical physics or chemistry, or applied mathematics. Demonstrated evidence of computational modelling experience, including code development
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applied mathematics. Demonstrated evidence of computational modelling experience, including code development and data analysis. Ideally experience using one or more of the following: Molecular dynamics
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computational solutions. Case Study Application: Apply the developed models to specific case studies, contributing to the advancement of scientific knowledge. Research Dissemination: Actively participate in
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climate resilience. Working within a world-class research environment, you’ll combine your skills in plant and crop physiology, modelling, phenotyping, data science, and statistics to uncover insights
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-dimensional model of Antarctic glacial isostatic adjustment Full Time, 3.5 year fixed-term position based in Hobart About the opportunity This postdoctoral research position will work on reconstruction
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 8 days ago
and validation of key personality frameworks, with a particular focus on the HEXACO model and Schwartz's values theory. Collaborate on cultural adaptation of instruments, ensuring conceptual and
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evaluating the efficiency and accuracy of both physics-based models and machine learning techniques, leveraging high-performance computing resources. The role will involve collaboration with leading
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internationally recognised TRACK-FA dataset, applying computational modelling and neuroimaging analysis to explore brain structure-function relationships and identify imaging biomarkers that could inform future
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 12 hours ago
language models and using larger scale computing infrastructure for affective computing or applications in psychology. We are looking for someone who likes challenging problems and encourages team members