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live in. Your role To this end, one PhD student will be hired to perform research in the domain of quantum computing applied to optimization problems with possible topics covering: Variational quantum
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d’Université Côte d’Azur, 2004 Route des Lucioles, 06902 Sophia-Antipolis, France Context and project: Due to its proven versatility, optimal transport (OT) is becoming more and more popular within the machine
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Context and Motivation Bilevel optimization problems, in which one optimization problem is nested within another, arise in a wide range of machine learning settings. Typical examples include
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this Ph.D. topic proposal: • The optimal approximation of 3D shapes using meshes is known to be a NP-hard problem. This means that finding the best possible mesh representation for a given shape, while
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of unlearning in artificial systems. Unlearning is crucial for biological organisms to adapt and remain flexible in dynamic environments, as well as for machines to optimize output integrity by shedding outdated
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culture of quality assurance Acquire and maintain optimal relationships with European and international Higher Education quality assurance community Your profile Higher education degree (Master or PhD
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? How can minimally invasive, bioorthogonal click chemistry-based labeling strategies be further developed and optimized for live-cell imaging, super-resolution microscopy, and cell-specific proteomics
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suitable data models [CSC+23]. Objectives As far as the design of efficient numerical algorithms in an off-the-grid setting is concerned, the problem is challenging, since the optimization is defined in
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the world and there is an urgent need to have better prognosis and predictive biomarkers, in order to improve the optimal care of these patients. Many existing therapies lead to an improvement of the overal
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on stochastic Riemannian optimization algorithms, these methods still suffer from limitations in computational complexity. The post-doctoral fellow will build upon this preliminary work to investigate