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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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structures, and score-based methods inspired by geometric statistics and stochastic processes on manifolds. The successful candidate will, under supervision, be expected to: Conduct fundamental research
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computing, manifold learning, geometric data analysis, or phylogenetic models of trait evolution Ability to collaborate and contribute to an interdisciplinary research environment. Scientific originality
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