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and contract termination in supply chain systems under uncertainties of the underlying asset price, interest rates and demand volatility, and advanced numerical methods for solving these models. More
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abilities, and advanced analytical and computational skills, including demonstrated proficiency in both numerical and symbolic calculations. As part of our ongoing commitment to equity, diversity and
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
simulations to examine protein structure and function. This includes using advanced sampling methods and free energy calculations. The role involves publishing research in peer-reviewed journals, presenting
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equations, and numerical methods. Advanced programming skills in languages such as Python, C++, MATLAB, or R. Strong academic curiosity and enthusiasm for the chosen research area. Application Process To
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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
independent research in molecular biology and biophysics, focusing on computational simulations to examine protein structure and function. This includes using advanced sampling methods and free
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systems, financial systems and reports (such as Oracle financials or similar) with demonstrated digital literacy skills, particularly Microsoft Excel. Demonstrated ability to operate methodically with a
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linguistically diverse learners. Capacity to teach foundational computational methods, data visualisation, and digital storytelling. A demonstrated track record of quality research outputs with a focus on data
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, in various formats including images, texts and numeric values. The study of these unstructured data in the pathology laboratory information system (LIS), together with the information from
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or data to inform research outcomes. Proven skills in study design and data collection methods, including development of in-person data collection tools (such as surveys and interview schedules) and
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collection methods, including development of in-person data collection tools (such as surveys and interview schedules) and familiarity with or experience in secondary data and its analysis. Demonstrated