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, tape-out, and testing, preferably with applications to AI systems ● Design, analysis, and modeling of AI hardware such as deep neural network accelerators or neuromorphic computing. ● Emerging AI
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, tape-out, and testing, preferably with applications to AI systems ● Design, analysis, and modeling of AI hardware such as deep neural network accelerators or neuromorphic computing. ● Emerging AI
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, tape-out, and testing, preferably with applications to AI systems ● Design, analysis, and modeling of AI hardware such as deep neural network accelerators or neuromorphic computing. ● Emerging AI
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and environmental conditions. Candidates should have a strong publication record in mobile robotics. A strong focus on sensing and control systems, demonstrated through hardware-validated experiments
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and environmental conditions. Candidates should have a strong publication record in mobile robotics. A strong focus on sensing and control systems, demonstrated through hardware-validated experiments
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associated with the NYB. Funding is provided by the New York State Department of Environmental Conservation (NYS DEC). More information about the New York Bight Indicators project can be found here: https
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associated with the NYB. Funding is provided by the New York State Department of Environmental Conservation (NYS DEC). More information about the New York Bight Indicators project can be found here: https
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-driven applications. Demonstrated expertise in designing, implementing, and evaluating complex software systems. Strong programming skills in relevant languages (e.g., Python, C++, Java) and experience
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-driven applications. Demonstrated expertise in designing, implementing, and evaluating complex software systems. Strong programming skills in relevant languages (e.g., Python, C++, Java) and experience
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supervision of Dr. Jie Yang in the Department of Family, Population, and Preventive Medicine. Research areas may include clinical trial design, environmental health, and other methodological and applied topics