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, computer engineering, computer science, data science, mathematical engineering, robotics, or a closely related field. The candidate should have solid mathematical and analytical skills and a strong interest
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position This PhD position will be hosted at the Department of Mathematical
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 1 month ago
The candidate should have strong background in image/signal processing, optimization and programming, notions of source coding, information theory would be appreciated. LanguagesFRENCHLevelBasic
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converter operating above 99% efficiency, the losses are small compared with the power being processed. Quantifying these losses reliably therefore requires more than a conventional power measurement. In
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Mission: Develop a monitoring and control system for an ammonia dehydrogenation plant. Functions to be developed: Perform plant modeling. Design an optimal control system. Design estimation algorithms
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engineering Engineering » Process engineering Researcher Profile First Stage Researcher (R1) Application Deadline 1 Oct 2026 - 21:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not
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years with both research and other career-promoting work. This will be clarified in the recruitment process. A career plan will be prepared that specifies the competencies that the Research Fellow will
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utilize low-grade waste heat. The project aims to develop methods for the design, optimization, and operation of integrated systems that maximize both economic performance and environmental benefits
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cellular changes. Advanced imaging techniques, including structural and functional-MRI, developed by Dr. Emmanuel Barbier (GIN director), will be used to optimize rSynES and monitor neuronal changes over
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demands of real-time, edge-based processing. We are looking for a highly motivated PhD researcher with an interest in optimizing AI models on resource-constrained embedded hardware. Requirements include