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Field
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Laboratory (SISL) is seeking a motivated individual to support research and development tasks relating to software development, algorithmic development and data analytics for RF networks. This may include
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seeking a motivated individual to support and potentially lead research and development tasks relating to data science, machine learning, and algorithmic development related to RF networks. This may include
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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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researcher in algorithmic game theory and/or online learning, working with Prof. Celli at BIDSA and the Department of Computing Sciences. The project studies how multiple machine learning algorithms interact
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University of Southern California (USC) | Los Angeles, California | United States | about 1 month ago
. 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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. 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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approaches that are able to characterise multiple organs at the same time, as well as the interactions between them. We have developed initial versions of such models and deployed them in small scale studies
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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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Laboratoire National de Métrologie et d'Essais - LNE | Paris 15, le de France | France | 27 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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Activity Lab is hiring a full-time lab manager to launch an NIH-funded research study to develop algorithms that use data from wearable sensors to assess the quality of early mother-infant interactions