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: • Contributing to the design and development of new laboratory capabilities including gas delivery manifolds, thin film deposition and thickness verification, vacuum hardware, photolysis setups. • Carrying out
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. 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 position with
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algorithms, representation and learning of data and dynamical systems, geometric deep learning, topological and algebraic data analysis, optimization on manifolds, and operator- and PDE-based approaches
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digital publishing tools and platforms such as GitHub, LaTeX, Manifold, etc. Professional Development: The fellow will participate in professional development opportunities aligned with their role and their