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-guided) Evolutionary trajectory analysis and fitness landscape modeling Integration of predictive algorithms with experimental iteration cycles High-throughput screening and selection platform development
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laboratory from Université Côte d’Azur (UCA). He leads the eBRAIN research group and develops an interdisciplinary research activity on embedded bio-inspired artificial intelligence and neuromorphic
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the evaluation of converter and drive architectures for edge-resident intelligence; the development of advanced modulation, estimation and control algorithms for high-performance operation; and the integration
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 3 months ago
into the high-performance code hawen (https://ffaucher.gitlab.io/hawen-website/ ) with the support of the development team, enabling their application to real-world applications. The program will be divided
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Algorithm Developer (KTP Associate) ( Job Number: 25001803) Department of Mathematical Sciences Grade 7: - £41,064 - £46,049 per annum Fixed Term - Full Time Contract Duration: 18 months Contracted
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Transfer Partnership (KTP) to develop advanced AI capabilities that will unlock the next level of market insights in the Kids, Parents and Family sector. Employed and supported by an academic team from
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application! We are looking for three (3) PhD students to the new national center for cyber-resilient AI RESIST with the following topics: Secure AI-supported software development Resilient Agentic AI End
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agriculture (CEA) by applying artificial intelligence, computer vision, and mechatronics for hyperspectral plant monitoring. The Research Associate will contribute to developing AI-enabled systems for plant
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distributions, characterize power under alternatives, and analyze automatic adaptation to intrinsic data structure. The algorithms developed will target scalability to large datasets via adaptivity without manual
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cellular level. They involve developing analytical methods and software tools for large, domain-specific, and heterogeneous data to understand cellular processes and apply findings in medicine and