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. Responsibilities Identify, research, and develop autonomy algorithms that use sonar data operating in complex environments to avoid obstacles, aid multi-agent decision making and dynamically replan current tasking
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Sign In Create Profile Assistant or Associate Professor, Computer Science (Multiple Positions) (T/TE) Tucson, AZ, United States | req24254 Apply Now Share Save Job Posted on: 10/27/2025 Back
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Laboratoire National de Métrologie et d'Essais - LNE | Paris 15, le de France | France | about 1 month ago
”) for reference data generation. Research developed in EMPIR project 15SIB01 FreeFORM on reference software and the generation of reference data for validating min-max and least-squares fitting algorithms
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, research, and develop autonomy algorithms that use sonar data operating in complex environments to avoid obstacles, aid multi-agent decision making and dynamically replan current tasking and sorties. Design
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quantum information, develop techniques for quantum control and measurement, build quantum computing hardware and software, and explore novel applications. Our main interest is to propose quantum algorithms
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-world solutions. The engineer will design algorithms, develop software, and integrate real-time and HPC sensing and communications systems. Major Duties/Responsibilities: Design and optimize signal
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on the development of artificial intelligence/machine learning algorithms to integrate multiple sources of patient-derived data, such as optical coherence tomography (OCT), retinal fundus photography (RFP), electronic
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to develop automated algorithms for downscaling drivetrain components for specific test purposes. Furthermore, you will perform multiple case studies to analyze the performance of the developed scaling methods
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provide insights into comparative physiology across different species. Of particular interest is the modeling of transport networks across multiple scales, including their function, development and
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to migration-related diversity. The position contributes to advancing methodological innovation through the creative and reliable use of machine learning, AI, and other algorithmic techniques in qualitative