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Details Title Postdoctoral Fellow in On-Premise Computing for Autonomous Vehicles (Computer Architecture, Machine Learning and Runtime Systems) School Harvard John A. Paulson School of Engineering
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on autonomous systems. Specifically, conducts research and develops legged robots, autonomous ground vehicles, or autonomous aerial vehicles. Works with the Futures Institute faculty for hypothesis development
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duties as assigned. Required Skillsets: Robotics/autonomy algorithm background Nice to Have Skills: Background in autonomous drones, planning, and perception algorithms Requirements: Doctorate Degree
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Job Description The Assured Vehicle Autonomy (AVA) Lab at the Kevin T. Crofton Department of Aerospace and Ocean Engineering at Virginia Tech is seeking a postdoctoral researcher to design
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algorithms. Write papers and proposals. Assist supervising students. Other duties as assigned. Required Skillsets: Robotics/autonomy algorithm background Nice to Have Skills: Background in autonomous drones
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the "Intelligent vehicles" laboratory or autonomous navigation lab. Proposed Salary $14.00 per hour This is a non-exempt position paid on a biweekly basis. Required Documents to Attach Resume Knowledge, Skills
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to conduct research within the field of transportation engineering. This position will primarily focus on autonomous vehicles and dynamic system modeling; the successful candidate will contribute to cutting
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on accelerating the development of advanced vehicles and complex mobility systems through advances in connected and autonomous vehicle technologies, communications, systems integration, simulation frameworks, and
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 23 hours ago
) Work Unit Motorsports Engineering Work Location The North Carolina Battery Complexity, Autonomous Vehicle and Electrification Research Center, the BATT CAVE Vacancy Open To All Candidates Position
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activities in vehicle automation and connectivity. Research existing industry leading autonomous perception and automation hardware and CAVs test methodologies with particular emphasis on collecting datasets