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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Research Assistant to work
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to the implementation and characterisation of AI/ML algorithms for 6G integrated sensing and communications systems, with particular emphasis on embedded platforms, digital processing architectures, efficient
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exploitant un ordinateur quantique, fondés notamment sur les réseaux arithmétiques et les codes correcteurs — problèmes réputés robustes face aux algorithmes quantiques connus. Les instances génériques
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– Advanced algorithms for energy sovereignty Research budget available over 5 years : Total Package ANR : 200 000€ Co-financing : 153 000€ Quota: full-time Website for additional job details https://www.insa
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and the validation of algorithms through classical simulation techniques, contributing to scalable solutions for next-generation quantum computing platforms Where to apply Website https
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA INDUSTRIALE | Italy | 1 day ago
. The list of activities: • Literature review on models and methods/algorithms for the design, configuration and management of automated solutions in material handling and warehousing. • Dashboard design for
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Research Assistant to
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . Our team is seeking a highly motivated Research Associate to contribute to cutting-edge research in embodied AI and
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HRER2026/357-222 Perfil R1 para desarrollo de algoritmos de IA / R1 profile to develop AI algorithms
. // Software development for the European project SkincAIr. Desarrollo de algoritmos de IA para la detección de enfermedades tropicales desatendidas // Development of AI algorithms for the detection of Neglected
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ideas from machine learning, econometric choice modelling and mathematical psychology. You will investigate how large language models, optimisation algorithms and automated model search methods can