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, Computer Science/Engineering, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal, written communication skills In-depth research
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Title Working Title Assistant Professor of Electrical and Computer Engineering Brief Position Overview The Dept. of Electrical and Computer Engineering invites applications for a tenure-track position at
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
Posting Description DATABASE PROGRAMMER ANALYST, ADVANCEMENT PROGRAM SERVICES (APS), Alumni Association Technology Services and & Initiatives (TSI), provides programming and data analysis support
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innovative candidates with a strong research record in quantum information science and engineering (QISE) who can build and sustain a nationally recognized, externally funded applied research program. While
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curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering (ECE) ranks among the best in the country. Our research programs are at the forefront
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Requirements: Preferably PhD in Computer Science / Engineering or related disciplines. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal, written communication skills In
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program. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and
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. To attend, contribute, and where necessary lead relevant meetings. To undertake any other duties relevant to the programme of research. Job Requirements: PhD’s degree in computer engineering, Computer
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Job Title Adjunct Instructor - Electrical Engineering/Computer Engineering Agency Texas A&M University - Texarkana Department CBET - Engineering Proposed Minimum Salary Commensurate Job Location
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telescope will generate enormous volumes of data, requiring high-performance computing expertise to process this data and run complex scientific workloads. As part of the SKA-Low Site Reliability Engineering