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of Probability Theory and Stochastic Processes. Deadline: October 15, 2025 Applications should be sent through https://forms.gle/eebZAJtrzKZKoYDr7 by the deadline. Two confidential reference letters should be
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related field are particularly encouraged to apply.We seek candidates with expertise in some or all the following areas: density functional theory, deep learning, high-throughput simulations, molecular
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is highly desirable. An ideal candidate will have a solid background in physics and chemistry, particularly in the area of statistical mechanics and percolation theory, materials modelling for fluid
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. The application review process takes approximately 3-4 months. Once reviewed and awarded, appointments are projected to start in late summer or fall 2026. Selection Application Deadline is: January 15, 2026 by 5:00
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passionate about building high-quality neuroscience experiments and data systems in a highly interdisciplinary environment, we encourage you to apply. You will work closely with teams led by Andreas Tolias
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to contribute your own research ideas and take part in supervising PhD students. About the research project The position, starting in the first half of 2026, will be based in the theory division of the Department
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-assisted control of large wind turbines. You will collaborate closely with both academic and industrial partners in Denmark and abroad, ensuring that your research has impact in practice as well as in theory
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asymptotic methods and their applications at the University of Sydney Base Salary, Academic level A $105,117 - $121,054 p.a + 17% superannuation About the opportunity The School of Mathematics and Statistics
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optimization (theory, modeling, and tools). Candidates should apply at: https://www.princeton.edu/acad-positions/position/39361 and include a cover letter, CV (including a list of publications), research
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About the Opportunity This job description is intended to describe the general nature and level of work being performed by people assigned to this classification. It is not intended to be construed