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Classification Title: Research Assistant Scientist Classification Minimum Requirements: Ph.D. in Electrical Engineering, Computer Science, Computer Engineering, or a closely related field by
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 2 months ago
quantitative background and computer skills including programming experience; excellent academic record; and ability to work independently. PREFERRED: Research assistant experience; background in economics
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
degree; strong quantitative background and computer skills including programming experience; excellent academic record; and ability to work independently. PREFERRED: Research assistant experience
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| Electrical and Computer Engineering Conducts advanced research and development in the Department of Electrical & Computer Engineering, with a primary focus on cathodoluminescence spectroscopy and the
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various relevant computer software applications. • Assist with literature research, editing and preparing manuscripts, scientific illustrations and computer graphics for publication. • May perform
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automation, assay development, computer programming and data analysis, are highly encouraged to apply. Additional Information Appointment End Date: This is a one year term position Standard Hours/Schedule: 35
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to work collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and
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for long periods of time and sitting in front of a computer. Shift Monday – Friday 8:00am – 5:00pm Job Summary The Department of Agricultural Economics at the University of Kentucky invites applications
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of computer literacy and knowledge of data management programs. Excellent organization skills, ability to prioritize a variety of tasks, and careful attention to detail. Ability to demonstrate professionalism
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Assist in developing AI-based computational tools for analyzing biological images. Help implement machine learning, deep learning, computer vision, and image processing algorithms. Work closely with