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: Requires a minimum of one (1) year of directly job-related experience. Preferred: Three (3) years job-related experience. Advanced knowledge of electrical engineering concepts, principles and theories
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decoding, the design of optimal codes, as well as related statistical inference problems. Successful candidates will have a genuine interest in Shannon Theory and will have a background in information theory
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decoding, the design of optimal codes, as well as related statistical inference problems. Successful candidates will have a genuine interest in Shannon Theory and will have a background in information theory
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
Electrical Code. Excellent oral and written communication skills. Registration as a Professional Engineer in the State of NC at the start of employment. Out of state PE's may apply for a NC PE license after a
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this setting, the mission of the ECE Department is to prepare individuals to be highly qualified for electrical and computer engineering careers through application-based teaching that enables students to put
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| Computer Science and Engineering We are seeking a postdoctoral researcher to work on problems at the intersection of algebraic coding theory, matroid theory, and pseudorandomness/derandomization. The focus
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
, and Experience Substantial knowledge of professional engineering theory, techniques, practices, procedures, building codes and laws and skills in applying these for problem-solving, system design, and
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to help guide future research within the lab. Basic Qualifications Bachelor's degree in mechanical engineering, computer science, electrical engineering, or robotics. Experience in either coding (C
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for inspection of both micro and macro process accurately, that compiles faster than standard industry codes but delivers particle-in-cell accuracy has the potential to be a step-change technology
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degree or higher in mechanical engineering, computer science, electrical engineering, or robotics. Experience in either coding (C++ or Python), controls, machine learning/AI, space systems, or robotics