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-driven algorithms (e.g., neural networks, reinforcement learning) for the creation of surrogate models and the autonomous optimization of high-dimensional design spaces. Experience simulating hybrid
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algorithms and real-world applications. The job The student will be part of the administration team and will support the daily operations of the program. You will work closely with the administrative
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international journals. Contribute to the design, analysis, and validation of new techniques and algorithms for estimation and inference, including theoretical work, simulations, and empirical applications
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