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expertise in physics-based modelling, numerical simulation, and AI-enhanced scientific computing. Research interests may include (but are not limited to) interstellar medium and astrochemical modelling
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information, first-principles calculations (DFT), or many-body numerical methods are particularly encouraged to apply.
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Position Description Duke Kunshan University (DKU) invites applications for multiple faculty positions in Data Science, Computer Science, or related disciplines to begin in the academic year 2026
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www.xjtlu.edu.cn. ABOUT THE DEPARTMENT OF APPLIED MATHEMATICS The Department of Applied Mathematics comprises academic staff with active research in analysis of differential equations, numerical analysis and
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Assistant Professor/Associate Professor/Senior Associate Professor/ Professor in Applied Mathematics
MATHEMATICS The Department of Applied Mathematics comprises academic staff with active research in analysis of differential equations, numerical analysis and scientific computing, control theory and
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or more of the specified areas 3.Proficiency in analytical and/or numerical methods for quantum systems 4.Excellent communication skills Successful candidates are offered with a competitive salary of
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), Infrastructure (Computer Systems, Software Engineering), and Frontier Engineering (Communications, Electrical Engineering, Mechatronics). In parallel, through strategic cross-campus mobility and lab-sharing, we
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expertise in physics-based modelling, numerical simulation, and AI-enhanced scientific computing. Research interests may include (but are not limited to) interstellar medium and astrochemical modelling
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include but are not limited to statistics and probability, stochastic modeling, scientific computing, mathematical optimization and control, numerical analysis, and relevant adjacent fields. Candidates with
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, innovative modeling frameworks, and advanced computational methods motivated by real-world challenges, bridging continuous and discrete models, deterministic and stochastic systems, and theory-driven and data