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learning algorithms constitutes a very promising research direction for energy-efficient and Edge AI applications: the goal here is to make these systems capable of learning per se, not just inference
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6 Research Professors (DR2). Competitive entry is open for research themes pertaining to Physics M/F
6 Dec 2025 Job Information Organisation/Company CNRS Department CNRS Research Field Computer science Mathematics » Algorithms Researcher Profile Established Researcher (R3) Country France
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6 Dec 2025 Job Information Organisation/Company CNRS Department CNRS Research Field Computer science Mathematics » Algorithms Researcher Profile First Stage Researcher (R1) Country France
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Experience1 - 4 Additional Information Eligibility criteria DFT with periodic boundary conditions applied to materials; development and implementation of codes or algorithms for materials modelling, ideally in
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 7 hours ago
algorithms able to provide decision making in uncertain environments. He was PI of several projects, including ANR-JCJC project BADASS (BAnDits Against non-Stationarity and Structure), Inria Action
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 26 days ago
that diffusion models are a fundamental divergence from traditional deep learning paradigms. This suggests that existing generalisation theories are insufficient and highlights the need for a bespoke, algorithm
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4 Oct 2025 Job Information Organisation/Company CNRS Department Laboratoire d'informatique de modélisation et d'optimisation des systèmes Research Field Computer science Mathematics » Algorithms
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are looking for a postdoctoral researcher in the field of image generation algorithms (specializing in Deep Learning) for a 12-month position. The work will take place within the IMAGE research team
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will be developed. Finally, the research will develop efficient algorithms and test them on realistic networks and using real data from energy and public transport operators. The Doctoral student is also
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algorithms. The post-doc will carry out theoretical work on causal abstraction and causal alignment, implement algorithms and experimental pipelines in Python/PyTorch, and run experiments on GPU clusters