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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 17 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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on advancing the state of the art in decision diagram-based methods for combinatorial optimization, including the development of new theory, algorithms, and high-impact applications. The candidate is expected
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-efficient wireless power transfer system using RIS-enabled beamforming and optimized power management algorithms to ensure sustainable monitoring. Specific tasks include: i) Develop a RIS-enabled SWIPT
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3 Oct 2026 Job Information Organisation/Company CNRS Department Institut de Recherche en Informatique Fondamentale Research Field Computer science Mathematics » Algorithms Researcher Profile First
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the position is the development of scalable optimisation algorithms for large and computationally challenging problem instances. You will formulate mathematical programming models and design solution approaches
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analysis and interpretation of the collected data, with attention to algorithmic gatekeeping, filter bubbles, rabbit holes and ethical research practice; developing a Master’s thesis within the scope
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and analysis of dedicated algorithms for training analog circuits directly from data. In this PhD project, you will develop a novel system-theoretic framework for learning in analog circuits and
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 17 days ago
frameworks, integrating frugal AI algorithms Participate to the experimenta validation of teh implemented solutions Write reports Test, change up until validation Where to apply Website https://jobs.inria.fr
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algorithms. One particular challenge for the candidate applying for this position, is to develop novel measures of structural (in)equivalence in social networks for obtaining an interpretable understanding
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therefore crucial for the development of more effective treatment strategies, biomarkers for risk stratification, and individualized therapies that can improve patients’ survival and quality of life