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Field
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Postdoctoral Associate – MEMS/NEMS Fabrication and Characterization for Piezoelectric/Ferroelectric Devices and Emerging Computing Hardware The SonicMEMS Laboratory at Cornell University is seeking
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experiments Demonstrated ability to analyze experimental data (e.g., in Python, MATLAB, or equivalent) KEY RESPONSIBILITIES AND ACCOUNTABILITIES 1. Design, perform, and analyze nanoscale magnetic resonance
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optimization across quantum and classical computing resources. Conduct hardware-software and application-system co-design by considering interactions among quantum hardware characteristics, HPC architectures
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for communications metrics Hardware-aware evaluation (desired): participate in SDR/hardware-in-the-loop experiments and help bridge algorithm design with realistic RF/platform effects. Required qualifications Ph.D. in
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) is a generalization of the standard QBF that allows them to succinctly encode many hard problems arising in hardware verification, circuit design and software synthesis. The main goal of this project
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with at least one engineering design software such as MATLAB/Simulink, LabVIEW or similar software are required. Experience working on quality monitoring of food and/or agriculture products is highly
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platform. The successful candidate will (1) integrate heterogeneous sensors and onboard computing hardware; (2) develop methods for LiDAR-based simultaneous localization and mapping (SLAM), autonomous
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Computer Science (EECS)/Energy Systems Innovation Center (ESIC) to develop high-fidelity grid-forming inverter models and high-voltage direct current (HVDC) models, and investigate their impact on the power
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, design and implementation of an immersive training tool that leverage spatial computing, computer vision, and on-device AI to support automated feedback, skill evaluation, and scalable surgical and trauma
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and guidewire shaping and manipulation. • Design, prototype, and evaluate electromechanical systems for endovascular navigation applications. • Develop and evaluate artificial intelligence and