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recovery conditions in inverse problems with sparsity constraints and to design algorithms that leverage these conditions [1]. This PhD topic investigates this framework in the context of observing
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the essentials of linear algebra, calculus, probability, statistics, algorithms, and data structures. The goal is to provide a foundational understanding of machine learning and deep learning methods
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doctorate/PhD for the following varied and exciting role: Job Duties: Lead of the research group at the Department of Pathology and Molecular Pathology, specializing in digital pathology Independent planning
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, algorithms, and physical constraints) Additional Information Work Location(s) Number of offers available1Company/InstituteHewlett Packard LabsCountryBelgiumGeofield Contact City Machelen Website http
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD will be carried out within an interdisciplinary collaboration
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available: https://www.fields.utoronto.ca/activities/26-27/quantum-algorithms-QADE . Successful applicants will be provided with funding to join the program in Ontario for 4-6 months. These Long Term Visitor
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Intelligence algorithms for the fashion industry, including predictive models for sales and trend forecasting, multimodal generative models for visual and textual content analysis, and decision-support systems
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the Job related to staff position within a Research Infrastructure? No Offer Description The research activity will focus on the development of mathematical models and Artificial Intelligence algorithms
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anything else requested in the fellowship description. Further Info: http://www.fields.utoronto.ca/activities/26-27/quantum-algorithms-QADE 222 College Street 2nd floor Toronto, Ontario Canada M5T 3J1
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10 Apr 2026 Job Information Organisation/Company CNRS Department Laboratoire d'Informatique, Signaux et Systèmes de Sophia Antipolis Research Field Computer science Mathematics » Algorithms