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Details Title Postdoctoral Fellow in Riemannian Optimization School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Position Description A postdoctoral position is
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guarantees. Research areas include Representation Learning, Machine learning and Optimization on graphs and manifolds, as well as applications of geometric methods in the Sciences. This is a one-year
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learning; distributionally robust optimization; 2) Graph Neural Networks, Large Language Models (LLMs), and geometric deep learning; and 3) federated learning and privacy preserving computing. Basic
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Health and Optimization Methods, which will enhance the university’s national footprint in digital health and optimization methods. This position will help support interdisciplinary collaborations in
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optimization. Sustainability assessment, circular construction and lifecycle thinking. Technology implementation and organizational change. Data-driven decision making and evidence-based improvement of