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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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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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approaches. We are now recruiting 3 postdoctoral researchers (https://postdoc.kaust.edu.sa/Pages/Home.aspx ) with a strong computational and/or theory background to develop novel computational methods. We
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. You will have a PhD in Mathematics, Astrophysics, or a closely allied discipline, with a strong background in numerical methods. Ideally you would have expertise in one of the above options, or some
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, we expect machine learning to be employed to improve accuracy and efficiency of numerical methods, combining advanced technology with scientific research. About the Department of Mathematics at UiB
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, United Kingdom of Great Britain and Northern Ireland [map ] Subject Area: ERC Synergy project Phase-space-inspired Numerical Methods for High Frequency Wave Scattering (PSINumScat) Appl Deadline: 2025/01
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 19 days 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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strong numerical and critical thinking skills, and the ability to work in a diverse environment. This position is funded by Southeast Asia Innovation Alliance for a Global Model of Future Agri-food Systems
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Australian National University | Canberra, Australian Capital Territory | Australia | about 4 hours 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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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