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equipment and in the effective preparation of thin sections being available during working hours to consult with faculty, staff and students on all matters related to sample preparation, suggesting optimal
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, energy and weather optimal voyage planning including wind assisted propulsion, enhanced situational awareness for safe navigation, and predictive management of green energy storage systems. The PhD
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in the College of Mathematical Sciences at Harbin Engineering University. Candidates in areas including, but not limited to, Dynamical Systems, Bifurcation Analysis, Complex Networks, Optimization
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, Modeling, & Method Development – 40% - Select features, build, and optimize classifiers using machine learning techniques. - Perform statistical analyses with both traditional methods (e.g., survival
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Computer Science or Mathematics, ideally with a background in one or more of the following areas: Optimization, Game Theory, Machine Learning Applicants must demonstrate: • An excellent academic record, including
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. Must be detail oriented and possess basic mathematical skills. **Position is On-site - Possible remote - Following on site training, minimum on-campus schedule of one day each week, subject to change
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, classification, and report generation. Participation in sample preparation and image acquisition in order to understand the data generation process and optimally integrate it into model development. Close
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We are seeking a highly motivated doctoral student to develop ship physics-integrated machine learning models for real-time prediction and optimization of wind-assisted ship propulsion systems
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aspects of modern portfolio theory, asset selection, allocation, and rebalancing. Both the mathematical and behavioral aspects of portfolio construction are studied. Risk assessment and optimal combination
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is inherently multi-disciplinary, Business Analytics lies at the intersection of Computer Science, Statistics, Machine Learning, Big Data, Applied Mathematics (particularly Optimization), Operations