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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 24 hours ago
circuit extraction algorithms are know for measurement-based computations with flow [4, 1, 6]. A recent completeness result for flow-preserving rewriting proved that, starting from a computation with flow
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to develop algorithms to factor linear differential operators using p‑adic techniques. The central question of this proposal concerns the efficient symbolic resolution of linear differential equations
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A Research Assistant position is open in the research group of A/P Wang Xinchao, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS). The Research
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innovative research in quantum information science, broadly defined. Areas of interest include, but are not limited to, quantum computation and simulation, quantum algorithms, quantum error correction, quantum
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to candidates with teaching or research interests in: Algorithms Science of Programming Computer Vision Machine Learning Qualifications Applicants must have: A Ph.D. in Computer Science, Data Science, Artificial
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in social media, algorithm design, and interventions to support well-being 40% Leading the system development and implementation of the mobile app 20% Dissemination via articles, conference
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following fields (preferably several): recommender systems, user modeling, algorithmic fairness and ecological aspects (e.g., of recommendation algorithms/systems), simulation studies (e.g., simulation
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16 Jul 2026 Job Information Organisation/Company CNRS Department Centre de Recherche en Informatique de Lens Research Field Computer science Mathematics » Algorithms Researcher Profile First Stage
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 22 days ago
Stoichiometry: Mapping canopy biochemistry (e.g., foliar N, P, Ca, Leaf Mass per Area [LMA], chlorophyll, non-photosynthetic vegetation, and N:P stoichiometric ratios) to understand ecosystem response to climate
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learning algorithm that leverages information contained in low-amplitude gravity perturbations (coined PEGS for Prompt Elasto-Gravity Signals, Vallée et al., 2017) to provide rapid unsaturated magnitude