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of a PhD. • Expert knowledge of linear PDEs (in particular wave equations and elliptic equations), high-frequency asymptotics, and numerical methods. • Excellent communication and organisational
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mathematical thinking, and their role in the development of numerical competence. The postdoc will investigate the role of cognitive heuristics and visual memory in numerical judgments, with a focus on
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 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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for simulations, we aim to explore solution strategies to calculate the amount of water given meteorological data and map data. Here, in addition to traditional discretization methods such as finite elements and
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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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for evidence. You will work across a range of projects utilising quantitative and qualitative methods. Depending on the skills of the appointee this may include health economics. You will have experience in
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of a PhD. • Expert knowledge of linear PDEs (in particular wave equations and elliptic equations), high-frequency asymptotics, and numerical methods. • Excellent communication and organisational
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experiments (experimental economics, preference method, discrete choice method, surveys, etc.), with associated academic publications ? You are familiar with putting forward proposals to help build up
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friction welds. Work here includes the characterization of production machines using additional instrumentation, the simulation of the process using several numerical methods, and the development
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methods for studying somatic mutations at increasing scale and precision. In close collaboration with the Huang lab and others, we are 1) Developing new experimental and computational tools to identify