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Inria, the French national research institute for the digital sciences | Grenoble, Rhone Alpes | France | about 2 months ago
projects DeepGreen and CAMELIA, which are dedicated to developing hardware and software technologies for the acceleration of Artificial Intelligence workloads. Under the DeepGreen project, work focuses on
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of Finland under the supervision of the Academy Research Fellow Marcelo Hartmann and Research Fellow Luu Hoang Phuc Hau (Nanyang Technological University). We have been developing computational algorithms
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research in the UK. The role would involve optimizing an artificial touch sensor for use in detecting defects during composite layup, as well as developing algorithms and visualization tools to demonstrate
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Job related to staff position within a Research Infrastructure? No Offer Description Functions: Collaborate on research tasks for the MIES project. Tasks: Develop data processing algorithms; draft
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and decision support for railway operations and maintenance. The successful candidate will work on developing, testing, modelling, and validating methods for DAS-based monitoring of railway
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Department Office of Responsible AI Department Website Link https://responsibleai.arizona.edu/ORAI Location Tucson Campus Address Tucson, AZ USA Position Highlights The Office of Responsible AI (ORAI
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Research Scientist/Engineer 3 who will serves as a critical bridge between advanced algorithm development and OCT imaging system implementation, enabling the integration, optimization, and translation
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-time power amplifier linearization using Field Programmable Gate Array (FPGA) platforms. The research will focus on the development of intelligent Digital Predistortion (DPD) algorithms capable
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on integrating an agentic platform for electrocatalyst discovery and developing novel machine-learning algorithms (e.g., reinforcement learning) for materials discovery and process optimization. The candidate will
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prior experience in large-scale calculations using CFD Strong skills in CFD for complex geometries, and parallel computing Development of advanced algorithms for problems involving very large mesh (tens