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conferences and journals. Overview: The successful candidate will join an interdisciplinary team focused on developing innovative numerical algorithms and software to address emerging challenges in scientific
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to develop algorithms and methodologies for mapping irrigation patterns using satellite imagery. Investigate methods for detecting the timing and frequency of irrigation events from time-series remote sensing
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such an environment and using this information in control algorithms to ensure robust navigation. This project is funded by the Hauts-de-France Region. Mission The recruited person ensures research work. She will be in
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involve designing and implementing algorithms. Testing with actual robotic platforms is handled by Demcon. Innovative simulation data is used for both training and testing. The project is in parallel with
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algorithms. Testing with actual robotic platforms is handled by Demcon. Innovative simulation data is used for both training and testing. The project is in parallel with our dedication to teaching perception
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benefiting from both academic and industrial research environments. The work will be done in collaboration with Nathalie Bertrand and Ocan Sankur (Inria DEVINE team https://devine.inria.fr/ ) and Benoît Boyer
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Department/Location: Department of Genetics Applications are invited for a Postdoctoral Research Associate position to work in the group of Dr Felipe Karam Teixeira (https://www.gen.cam.ac.uk
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, develop, and implement state-of-the-art post-quantum cryptographic protocols and algorithms. Collaborate closely with top-tier European universities and industrial partners. Participate in project
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, the successful candidate will conduct cutting-edge research in: Adaptive incentive mechanism design for complex sociotechnical systems Strategic learning and equilibrium-seeking algorithms in transportation
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cases of next generation wireless communications systems. For details, you may refer to the following: https://wwwen.uni.lu/snt/research/sigcom We're looking for people driven by excellence, excited about