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processing. Algorithms will be evaluated with software-defined radios, antenna hardware and over-the-air field measurements. The project will address the following key areas: Unmanned Aerial Vehicle (UAV
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Qualifications: Experience with hybrid missions, operations planning, space hardware, electronics, embedded system development, and NASA procedures and practices; Experience in the design, development, and testing
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Validate the developed models against circuit simulations and measurements Perform hardware-algorithm co-design for AI-driven 6G transmitters Publish and present your results at leading international venues
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that are part of a global computing grid used to reconstruct and analyze particle collisions recorded by the ATLAS detector at the Large Hadron Collider (LHC) at CERN in Geneva, Switzerland (https://atlas.cern
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projects. Digital VLSI and AI Hardware Systems Key research areas: ASIC/FPGA design flows; AI/edge accelerators; hardware–software co-design; modern SoC architectures; verification and architecture
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that architecture, functionality and design are consistent with all information technology strategies. Researches and evaluates new technology, products, specialized hardware such as whole slide scanners, and tools
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projects. Digital VLSI and AI Hardware Systems Key research areas: ASIC/FPGA design flows; AI/edge accelerators; hardware–software co-design; modern SoC architectures; verification and architecture
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Multiple Tenure-Track Assistant Professor Positions in Microelectronics, Circuits and Systems Design
laboratory modules; mixed-signal design projects. Digital VLSI and AI Hardware Systems Key research areas: ASIC/FPGA design flows; AI/edge accelerators; hardware–software co-design; modern SoC architectures
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Multiple Tenure-Track Assistant Professor Positions in Microelectronics, Circuits and Systems Design
laboratory modules; mixed-signal design projects. Digital VLSI and AI Hardware Systems Key research areas: ASIC/FPGA design flows; AI/edge accelerators; hardware–software co-design; modern SoC architectures
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development, and/or NASA procedures and practices; Experience in practical software design, development, and testing including hardware systems or embedded systems is desirable; Familiarity with software