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sophisticated algorithms to store, manage, and interpret data. To meet the challenges, database software needs to communicate efficiently both with the application layer and with the underlying hardware
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algorithms. Proven experience with reinforcement learning algorithms and implementations. Experience in programming, e.g., in Python, PyTorch, TensorFlow, or similar. Curiosity and willingness to
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methodological and focuses on developing new generative modeling approaches, scalable training algorithms, and foundation model technologies. The role is suited for candidates with a strong machine learning
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our project The Chair of Numerical Modelling and Simulation at EPFL is dedicated to the design and analysis of numerical algorithms for partial differential equations. Our research is oriented