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, growth and mechanics. Our group combines quantitative imaging data with mathematical and computational models to understand how tissues self-organise and how this process goes wrong in disease. We
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duties Research at the Lie-Størmer Center (LSC) aims to explore uncharted territory at the interface of computational and pure mathematics, targeting foundational mathematical challenges relevant to the
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science, or a related quantitative field for a two-year Postdoctoral Research Fellow position. This position involves developing statistical methods, data analytic tools, and mathematical models for
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science, or a related quantitative field for a two-year Postdoctoral Research Fellow position. This position involves developing statistical methods, data analytic tools, and mathematical models for
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 18 hours ago
King Abdullah University of Science and Technology: Postdoc Positions: Computer, Electrical and Mathematical Science and Engineering Division (postdoc): Applied Mathematics and Computational Science
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November 2026, or as soon as possible thereafter. The position is time-limited for 3 years (full-time studies). Description of the PhD project. In this project, we aim to develop mathematical models of
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, probability theory, and calculus solid skills in programming interest in mathematical and statistical method development, good communication skills and sufficient proficiency in oral and written English
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experience integrating hardware and software Fluency in mathematical concepts and manipulations Programming skills for acquiring and analyzing data (e.g., Python, LabView or MATLAB) Excellent verbal and
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all aspects, some cryptography background is required. Design and analysis of new PETs: This aspect requires a significant math background as it involves exploiting various mathematical results to
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Buffet, and Iadine Chades. "Interpretable Solutions for Stochastic Dynamic Programming." bioRxiv (2024): 2024-08. Wells, Lindsay, and Tomasz Bednarz. "Explainable ai and reinforcement learning—a