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Field
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approaches to biological problems Proficiency in computational methods and adherence to best practices Demonstrated experience as a research project leader Manage multiple diverse and collaborative projects
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research project in collaboration with multiple tech companies to develop and demonstrate the next generation of free-space optical (FSO) communication systems for satellite communications. Information
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at the National University of Singapore (NUS) with the collection, analysis, visualization of data and presentation of analytical results for regular and ad-hoc reporting purposes to meet multiple information and
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to national security and societal wellbeing, such as finance, education, civil infrastructure, agriculture, healthcare, entertainment, security, and government; and Inventing new algorithms, techniques, and
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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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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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Engineer you will design, implement and test algorithms for autonomous decision making on Uncrewed Underwater Vehicles (UUVs) for the Advanced Technology Laboratory (ATL), at ARL. Responsibilities Identify
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Autonomous System Designer you will design, implement and test algorithms for autonomous decision making on Uncrewed Underwater Vehicles (UUVs) for the Advanced Technology Laboratory (ATL), at ARL
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University of Southern California (USC) | Los Angeles, California | United States | about 1 month ago
are needed. The incumbent will work closely with USC researcher teams to design analysis specifications, including input data specifications, data cleaning, algorithms, and interpretation of results
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Laboratoire National de Métrologie et d'Essais - LNE | Paris 15, le de France | France | 21 days ago
on the primary data. They are often captured from multiple scans made from different locations to unspecified surface locations. This introduces novel sources of uncertainty while potentially reducing the impact