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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 18 days ago
efficient optimization algorithms. For example, for many binary optimization problems, objective functions can be represented using a bounded-degree Walsh/Fourrier transform, providing a natural framework for
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a EU programme Reference Number BAP-2026-631 Is the Job related to staff position within a Research Infrastructure? No Offer Description There are a lot of algorithms to approximate high-dimensional
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models, algorithms, and systems to support ecosystems for the development of inclusive, bias-free, and multicultural digital social networks. The research topic will also be investigated through
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Python environment of spectral libraries, chemometric procedures for processing drone-acquired hyperspectral data, and classification and model-selection algorithms aimed at identifying asbestos-containing
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industry and international partners. For more details, please view https://www.ntu.edu.sg/atmri . We are looking for a Research Fellow to conduct research on systems integration and prototyping in air
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the Behavior, Rights, and Well-being research area, to which the PhD candidate will be affiliated. “Competition and Algorithms: adoption, impact and transparency” : The PhD project is embedded in a
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 18 days ago
of the research team are available at the followings URLs : https://www.fil.univ-lille.fr/~lipari/research/phd-call.html www.cristal.univ-lille.fr/equipes/sycomores Research and development of algorithms and code
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at IAC-CNR Florence Where to apply Website https://selezionionline.cnr.it/jconon/ Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: Italy Eligibility
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 18 days ago
contribute to the design, development, and experimental validation of novel graybox tunneling algorithms for multi-objective combinatorial optimization, with a particular focus on their parallelization and
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of energy forecasting and optimisation algorithms using artificial intelligence, machine learning and probabilistic forecasting to estimate renewable energy generation, electricity consumption and the