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approach combining: • The implementation and optimization of environmentally friendly extraction processes, • A fundamental understanding of the associated inhibition mechanisms, and • Life-cycle analysis
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of cryptography is required. Expertise in optimization or efficient algorithm design will be considered an asset. Applications should include a CV, a list of publications and a research statement. Applicants should
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: For applications requiring short packets / low latency, it is important to obtain tight bounds for the optimal secrecy rate in finite blocklength. Building on the theoretical breakthrough by Polyanskiy
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 9 days ago
the PEPR Future Networks , and its PERSEUS project. PERSEUS focuses on the technologies, processing and optimization of next-generation cellular cell-free networks. This includes the development of robust
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Center for Immunology of Marseille-Luminy (CIML) | Marseille, Provence Alpes Cote d Azur | France | about 1 hour ago
of produced antibodies using high-throughput approaches Optimizing and standardizing library preparation protocols to ensure high-quality genomic data Collaborating with bioinformaticians to validate sequencing
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) and molten salts - Optimization of synthesis conditions followed by physicochemical characterization of the materials obtained - Synthesis of MXene and hard carbon composites - Preparation of electrodes
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the development of high-reliability fiber components and optimized doped fibers. The first objective of this project is to explore different approaches to develop fluoride fiber components and build optical benches
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theory. The researcher will work in the G-SCOP laboratory, in the "Combinatorial Optimization" team, on geometric aspects of graph theory, in particular the links between structure and metric, and the
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of sea turtles - Developing innovative machine learning methods to analyze the sounds associated with these behaviors - Automating the processing of audio and visual data to optimize the quantity and
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computational approaches to biological systems. Its core activity is the development of deep learning methods for protein design and optimization, with applications in biology and medicine. - activities: We