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of algorithms based on artificial intelligence, since, to fully exploit the potential of AI, algorithms must be fed with data. This research project will examine these issues by focusing on three main areas
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biology, bioinformatics, infectious-disease epidemiology, evolutionary or ecological biology, or a closely related field. Strong programming skills (R, Python, and/or other) Familiarity with version control
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of the ASSET Junior Professor Chair (Tenure Track Professor) will be responsible for developing and structuring a research programme of excellence at the interface of advanced algorithmics, embedded systems
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
(PETs) and privacy assessment functionality based on MAGNET scientific advances By default all developed software will be open-source. Tasks may include developing algorithms, e.g., cryptographic
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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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11 Jul 2026 Job Information Organisation/Company CNRS Department Laboratoire d'Informatique de l'Ecole Polytechnique Research Field Computer science Mathematics » Algorithms Researcher Profile First
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) imaging instruments and quantitative calibration protocols. Optimization of μXRF data acquisition protocols to maximize signal complementarity. Participate in the development of algorithms to optimize HMSPL
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systems. Specifically, the research will propose an integrated framework that will couple two core components: 1) advanced algorithms to optimise participation of HPPs, or more generally of VPPs integrating
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 1 month ago
preserved at ambient temperature provided it is protected from light and humidity. Goal The goal of the project is to develop an algorithm to allow robust retrieval of data in the context of DNA-based data
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algorithms will subsequently be developed, trained and tested to identify markers of reduced brain resilience during ageing. The project adopts an interdisciplinary approach at the interface of neuroscience