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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 16 days ago
Website https://jobs.inria.fr/public/classic/en/offres/2026-09839 Requirements Skills/Qualifications Strong mathematical background. Knowledge in numerical optimization is a plus. Good programming skills in
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School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the school is renowned for its high academic
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, the Optimized AI team focuses on computing techniques to scale up a wide range of AI approaches and drive the SW-HW-Technology co-optimization. We analyze and implement AI models and software architectures while
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distributed data processing closer to IoT devices. However, optimizing service placement in Fog environments remains a challenge due to the variability of Fog node resources, latency and energy constraints, and
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian We are looking for an experienced Chemical Process Engineer to join its
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Engineering, Computer Engineering or similar areas. Project: HeAICare: AI-Driven Solutions for Optimizing Feto-Neonatal Neurodevelopment: Monitoring, Diagnosis, and Personalized Treatment Where to apply E-mail
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9 Mar 2026 Job Information Organisation/Company UNIVERSIDAD POLITECNICA DE MADRID Department HRS4R Research Field Engineering » Mechanical engineering Researcher Profile Other Profession Positions
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optimize gene expression systems. Perform phenotypic and molecular characterization of engineered strains. Prepare scientific manuscripts, patents, and project proposals. Collaborate closely with
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reactors, combining the advanced multiphase fluid dynamics, cavitating flow control, and reactor engineering. The successful candidate will: Design and optimize hydrodynamic cavitation reactor geometries
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construction of complex metallic components. Activities include planar and non-planar slicing, toolpath optimization, robotic integration, and experimental validation on aluminum alloys and structural steels