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15 Apr 2026 Job Information Organisation/Company IMT Atlantique Research Field Computer science » Informatics Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions Application
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 8 days ago
to pure exploration algorithms in linear bandits, under privacy constraints. The objective is to propose and analyze new bandit algorithms, and to publish these results in research papers. bibliographic
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 8 days ago
testing: is a new medical treatment better than a placebo? Is a new algorithm more efficient on a computational task than the current state of the art? Due to random fluctuations, experiments must be
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16 Apr 2026 Job Information Organisation/Company CNRS Department Laboratoire d'Informatique de Paris-Nord Research Field Computer science Mathematics » Algorithms Researcher Profile First Stage
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algorithms for the robot and its pneumatic actuators, enabling actuation through a reduced number of control signals and fluidic supply channels. - Performance evaluation and optimization Experimental
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, Intelligent_Mapping is integrated into the IRIMA Plateformes Consortium, supported by BRGM (PI: J. Langlois). The primary aim of Intelligent_Mapping is to develop Artificial Intelligence (AI) algorithms able
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, depending on the motivation of the candidate, and beam availability to take part in experiments at BEPC2 to measure polarisation with pixel sensors in IHEP, the foreseen technology for FCC-ee detectors
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 14 days ago
space for flower petals, while not being applicable to growing flowers. Existing methods to reconstruct growing flower petals from vision sensors fit a pre-defined template to observations [2
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approach makes it easier to identify different local optima using sampling mechanisms. In stochastic optimization, distribution estimation algorithms (EDA) are an alternative approach to traditional
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-trained tool on other image sensors and at different mountain sites presents difficulties. Specifically, generalizing a model trained on a specific site to other sites with different environmental