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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 2 months ago
between the device-dependent and the device-independent scenario, and (iv) developing its applications in communication, computation, and security tasks Where to apply Website https://jobs.inria.fr/public
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equivalent foreign degree in chemical engineering, mechanical engineering, applied mathematics, or a closely related field. This eligibility requirement must be met no later than the time the employment
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7 Feb 2026 Job Information Organisation/Company CNRS Department Institut de Recherche en Informatique de Toulouse Research Field Computer science Mathematics » Algorithms Researcher Profile First
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9 Feb 2026 Job Information Organisation/Company Lodz University of Technology Department Institute pf Physics Faculty of Technical Physics, Informatics and Applied Mathematics Research Field Physics
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are looking for The following requirements are mandatory: A doctoral degree or an equivalent foreign degree in chemical engineering, mechanical engineering, applied mathematics, or a closely related field. This
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9 Feb 2026 Job Information Organisation/Company MOHAMMED VI POLYTECHNIC UNIVERSITY Research Field Engineering Chemistry Engineering Mathematics Physics Chemistry Researcher Profile Recognised
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conferences/journals. Aptitude for teamwork, problem-solving, and collaborative relationships Strong technical background in at least one of the following areas: Mathematical optimization, Resource allocation
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character. The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer
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. This project seeks to overcome key workflow and precision limitations in HDR brachytherapy by enabling real-time adaptive optimization during needle insertion, integrating live ultrasound imaging with GPU
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incremental optimization. We seek researchers to develop next-generation machine learning methods that fundamentally rethink how large-scale AI systems are trained, fine-tuned, and deployed. Our focus is on