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level of performance. Expected research should focus on developing more sophisticated learning frameworks, particularly through the integration of deep reinforcement learning. The first part of the thesis
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-correction. This PhD falls into the fields of error-correction and Deep Learning. Due to the inherent unreliability of the DNA storage support, the goal will be to develop advanced deep learning models
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Inria, the French national research institute for the digital sciences | Montpellier, Languedoc Roussillon | France | about 1 month ago
/public/classic/en/offres/2025-08683 Requirements Skills/Qualifications Python programming. Deep Learning with Python (preferably with Pytorch). Experience with GIS. Experience with NLP would be a plus
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 3 months ago
the IDPFold project (2025-2029) recently funded by the French National Research Agency (ANR). The main goal is to develop geometric deep learning models to study intrinsically disordered proteins (IDP). The PhD
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water. Clearly identified scientific objectives motivate and guide the design and development of space mission by CESBIO and monitoring tools. Missions: - Data processing, apply and tune deep-learning
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datasets using both traditional methods (e.g., factor analysis) as well as more modern approaches (e.g., deep learning). The goals are to develop new computational methods that allow the scientific inference
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under the guidance of Prof. Ivan Nourdin. Your role Conduct research in machine learning, deep learning, and probabilistic modeling, with a focus on real-world applications Disseminate research findings
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(deep learning) avec les emblématiques réseaux de neurones profonds [2] (deep neural networks) appliquées à des données d'imagerie des spectroscopies LIBS (Laser Induced Breakdown Spectroscopy), Raman et