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areas in Mathematics and AI: Machine Learning, Statistical Learning, Optimization, Computational Modelling, etc . Candidates with strong research potential or established academic records in these areas
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performance and economic feasibility The methodological focus is on mathematical programming and stochastic optimization, possibly combined with decomposition and/or heuristic methods when needed for large
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. Further Info: https://math.nju.edu.cn/ LI < njumath@nju.edu.cn > School of Mathematics Nanjing University 22 Hankou Road Nanjing 210093, CHINA Application Materials Required: Submit the following items
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, and/or data science. (e.g. applied modeling, machine learning, optimization, statistics/data ethics, etc.). Develop or expand curriculum offerings in data science and/or applied mathematics. Maintain
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course objectives. Make optimal use of available technology to enhance instructional methods. Supplement and alter, where appropriate, lesson plans, assignments, tests, and materials. Maintain accurate
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California State University, Long Beach | Long Beach, California | United States | about 16 hours ago
Machine Learning, Mathematics Modeling, Artificial Intelligence, Data Science, High-Performance Computing, or Optimization Successful experience at the post-doctoral level or in industry, ideally including
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offers and actions on https://cluster-ia-enact.ai/ . You will work in a rare environment at the intersection of frugal AI, analog computing, reconfigurable electronics and THz imaging. The PhD is directly
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economic development. The role requires strong foundations in mathematics and computer science, including statistical learning, optimization, simulation, and algorithmic reasoning. The successful candidate
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Description The Smart Materials Lab (Panče Naumov Group) at the Division of Science and Mathematics, New York University Abu Dhabi, seeks to recruit a highly motivated associate research scientist
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; Decision making; Systems modeling; Engineering; Operations research; mathematical programming; optimization; systems analysis; risk analysis; statistics; hazards and disaster research; Decision support