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across multiple da-tasets, domains, or tasks Is familiar with mathematical optimization methods, such as mixed-integer linear programming Has experience with uncertainty quantification, surrogate modelling
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experience with tabular or heterogeneous data, particularly across multiple da-tasets, domains, or tasks Is familiar with mathematical optimization methods, such as mixed-integer linear programming Has
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Your profile PhD applicants must possess a Master's degree in mathematics, theoretical physics, computer science, or a related field. Postdoctoral applicants must hold, or be close to completing, a
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, while postdoctoral applicants are expected to have a strong publication record in machine learning, artificial intelligence, optimization, or related areas. Excellent communication skills and fluency in
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoctoral Positions in Computational Neuroscience & AI Mission The A. Mathis Group for