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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 days ago
on developing new methods, whether experimental, analytical, or computational. The Experimental Petrology group at RSES is a world-leader in high pressure experimental petrology and the application of cutting
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programme designated to attract and empower the world’s brightest early-career researchers. This fellowship supports outstanding scientists who harness Artificial Intelligence (AI) to accelerate breakthroughs
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Qualifications: Ph.D. or other terminal degree in terminal degree in Civil or Environmental Engineering, hydrology, ecology, geosciences, computer science, applied mathematics, data analytics, or related fields
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; Neuroscience; Physics; Chemistry; Computer Science; Data Science; Mathematics; Earth Science; Astro sciences; and related disciplines Application deadline: September 18 (14:00 CEST) Salary: three-year fully
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highly skilled in and deeply passionate about computational electromagnetism and mathematical physics/engineering. The RF should have strong background in computational methods for solving Maxwell’s
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candidate will work on an interdisciplinary Human Frontier Science Programme grant to unravel the functional ecology of heterotrophic protists, combining behavioural assays, ultrastructural and morphological
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to the successful completion of a PhD degree. The fellowship requires admission to the PhD programme at the Faculty of Mathematics and Natural Sciences. The application to the PhD programme must be submitted
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particularly suited to candidates with a strong quantitative background. We welcome applicants with training in mathematics, statistics, health economics, computer science, or epidemiology, particularly those
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send materials to ukarvind@umich.edu with Subject "SIBL Bioinformatics Postdoc". Job Summary The Systems Imaging and Bioinformatics Laboratory (SIBL) in the Department of Computational Medicine and
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include: fluid mechanics, biomechanics, statistics and data science, computational mathematics, combinatorics, partial differential equations, stochastics and risk, algebra, geometry, topology, operator