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-oriented research Requirements: strong programming and mathematical skills (or strong willingness to learning them) experience with Mathematica and Python work with models in public economics (e. g. optimal
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, distributed intelligence. Techniques such as Federated Learning (FL), Swarm Learning (SL), and Transfer Learning enable organizations to jointly train models without sharing raw sensitive data. However, these
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 24 days ago
skills Specific Requirements The candidate must hold a PhD in machine learning and have strong mathematical skills. Knowledge of bandit models is a plus. LanguagesFRENCHLevelBasic LanguagesENGLISHLevelGood
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departmental duties, up to a maximum of 20 per cent of full-time. Your qualifications You have graduated at Master’s level in Electrical Engineering, Computer Science, or Applied Mathematics, with a minimum of
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Physics-Informed Data Assimilation in Wall-Bounded Turbulence School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Yi Li, Dr Ashley Willis Application Deadline
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applications. Key Responsibilities: Develop and fine-tune computer-vision models, instance segmentation, and retrieval-based estimation from images and text metadata. Build and evaluate monocular depth pipelines
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qualifications and motivation. For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in mathematical sciences (https://www.ntnu.no/studier/phma ) within three months
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: “Computational Neuroscience Marie Curie Chair”, funded by the Cabildo de Gran Canaria. The position is linked to the research line: “Neuronal Computing: design of new architectures and models. Applications in
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, quantitatively intensive research at CTED with a primary focus on artificial intelligence, machine learning, mathematical modeling, and computational analysis. The Junior Research Scientist will play a central