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advances in machine learning and data-intensive approaches facilitate the search for better or even global minima via evolutionary computations or reinforcement learning. Objectives. The main scientific
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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
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this technology for capturing and processing the pulse of a city. In particular, in many applications, DAS suffers from the multi-source aliasing problem and low-frequency noise, especially in noisy environments
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machine learning or theoretical biophysics or computer science Conditions. Postdoc position funded by Centre Inria at Université Côte d’Azur, France. The position is located in Sophia-Antipolis, French
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technology is reducing the write current, which is intrinsically linked to the charge-to-spin current conversion ratio (), a key parameter defining the efficiency of SOT materials. The TopMemo project aims
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train robust machine learning (ML) algorithms without exchanging the actual data. The benefits of such a decentralized technology over personal and confidential data are multiple and already include some
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the Spintronics and Component Technology Laboratory (SPINTEC) and micro- and nanomagnetism at the Institut Néel. We expect that the candidate has knowledge and practical experience of micromagnetic simulations
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or equivalent in data science, signal processing or applied mathematics and will require a strong background in theoretical as well as computational aspects of linear algebra, optimization and signal processing
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Université Côte d'Azur, Mathematics Position ID: 3026 -CPJAZ [#26586] Position Title: Position Type: Tenured/Tenure-track faculty Position Location: Nice, Provence-Alpes-Cote d'Azur 06100, France [map ] Subject Area: Mathematics for Neurosciences Appl Deadline: 2025/11/30 11:59PM (posted...
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