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Mathematics, Economics, or a related quantitative discipline, completed by the appointment date. Demonstrated research experience in stochastic or dynamic optimization, online learning or sequential
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criteria will be used: Documented knowledge in Mining Engineering and production optimization Documented mathematical, analytical and problem-solving skills. Good knowledge of statistics, AI/ML, and
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advanced optimization models and solution algorithms for robust scheduling and routing of bulk carriers under operational uncertainty. We are looking for candidates with: Strong expertise in mathematical
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research project at the intersection of inverse problems, nonlinear partial differential equations, numerical analysis, mathematical biology, medical imaging, and scientific machine learning. The project
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energy-system modelling, mathematical optimization, control, digital twins, or related areas. Strong programming and numerical modelling skills using Python, MATLAB/Simulink, Julia, hardware in the loop
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degree in a mathematical or engineering-related subject. A background in control/systems theory and optimization is desirable. Full details of how to apply can be found at the following link: https
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mathematics. This includes but is not limited to: mathematical foundations of AI and machine learning, inverse problems, optimization, numerical analysis. Qualifications A Ph.D. in mathematics is required
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Mathjobs.org | 28 days ago
research projects related to the mathematical and computational foundations of generative artificial intelligence. Potential research topics include the mathematical and statistical analysis of modern
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research projects related to the mathematical and computational foundations of generative artificial intelligence. Potential research topics include the mathematical and statistical analysis of modern
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research project PRONTO at the intersection of applied mathematics, automatic control, and data science, at the Department of Mathematical Sciences. About us The Department of Mathematical Science