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storage and electrification, renewable energy and thermal and fluid sciences. The successful candidates will be expected to develop a strong research program on the fundamentals of Robotics, with
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program on the fundamentals of Mechanics of Materials and Manufacturing, with applications to one or many of the areas of impact for which Mechanical Engineering is well-known. The successful candidate
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competency-based education. Manage learner assessment data systems, ensuring accurate, secure, and accessible data to support program reporting and CQI. Collaborate with instructional technology staff
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Position Overview School / Campus / College: College of Engineering Organization: Electrical and Computer Engineering Title: Research Assistant Professor (Non-Tenure) - Li Lab Position Details
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to the CENPA Engineering staff. Modern computer programming skills and experience in data analysis. Desired Qualifications: Experience in (or willingness to learn) techniques for high-speed digitization
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to the goals and missions of the department, college, and university. Qualifications Applicants must have a PhD or foreign equivalent doctorate degree in Mechanical Engineering or a related discipline
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Applicants must have a PhD or foreign equivalent degree in quantum information science, high-energy physics, nuclear physics or computer science, broadly defined, by the date of appointment. Instructions
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and experience in a team-focused work environment with excellent written and oral communication and interpersonal skills. DESIRED: Master’s or PhD in Biostatistics, Computer Science, Mathematics
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environment with excellent written and oral communication and interpersonal skills. DESIRED QUALIFICATIONS: Master’s or PhD in Biostatistics, Computer Science, Mathematics, Physics or related field AND three
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environment with excellent written and oral communication and interpersonal skills. DESIRED: PhD degree in Computer Science, Mathematics, Physics, Biostatistics or related field AND at least four years of work