520 algorithm-development-"Multiple"-"University-of-California,-Santa-Cruz" positions
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Field
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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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Laboratoire National de Métrologie et d'Essais - LNE | Paris 15, le de France | France | 19 days 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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-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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. The incumbent will develop and implement algorithms on existing data warehouse records and may nominate new external data sources to be ingested to the data warehouse to strengthen analyses. Analyses will address
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. The position is part of a small team that works on the development and optimization of algorithms for these problems, as well as proofs on theoretical complexity bounds. Common tasks include: Developing ideas
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develop technical solutions. Develop/change data input, files/database structures, data transformation, algorithms, and data output by using appropriate computer language/tools to provide technical
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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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of developing innovative, principled, and insightful leaders who change lives, change organizations, and change the world. The Data, Analytics, and Research Computing team (DARC) of the Stanford Graduate School
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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