1,009 engineering-computation-"https:" "https:" "https:" "https:" "https:" research jobs in United States
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Field
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Vision Assistive Technology." Under this project we are developing new head-worn technology that informs and assists users with profound visual impairment about objects, people, obstacles, hazards, etc. in
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for three references – https://unmc.peopleadmin.com/postings/95260 . Required Qualifications: Ph.D. or equivalent degree in Medical Physics, Physics, Biomedical Engineering, Computer Science, Applied
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engineering across several departments throughout the university, including physics, electrical engineering, computer science, chemistry, and mechanical engineering. Research areas include foundational quantum
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Details Title Postdoctoral Fellowship in Power and AI Systems School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science/ Electrical Engineering
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with students and faculty in engineering, computer science, or closely related fields in a university setting to support/lead projects and write proposals. Help deliver senior projects, research projects
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high-level software development scientists in a joint project with Nvidia , world leader in artificial intelligence (AI) computing, and Tandem AI , an advanced technology company providing access
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medical device environments is highly valued. PhD in computer science, electrical engineering, biomedical engineering, cybersecurity, or a closely related field Strong record of peer-reviewed publications
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A1096 Working Title PhD - Research Assistant - Computer Science Location Edinburg, Texas College College of Engineering and Computer Science Department College of Engineering and Computer
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the Pereira laboratory: https://www.lsi.umich.edu/science/our-labs/filipa-pereira-lab Responsibilities* Experimental responsibilities will include: Perform genome engineering of Streptomyces strains
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Duties and Responsibilities Run routine and ad hoc reports. Use standard tools and computer programs to review data. Assist with data cleaning measures to ensure accuracy of data and preparation of tables