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the operational readiness and accessibility of high-quality AV integration. This includes oversight of overall maintenance, resolution of issues, and coordination of system design/installation efforts for new
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Previous Job Job Title Part-Time Design Workshop Adjunct Faculty in Electrical and Computer Engineering Next Job Apply for Job Job ID 371644 Location Duluth Job Family Academic Full/Part Time Part
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subjects of the Computer Engineering program, including Operating Systems, Data Structures, Algorithms, Optimization, Machine Learning, Reinforcement Learning, Computer Vision, and Pattern Recognition, as
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discovery machine for unlocking the secrets of the "glue" that binds the building blocks of visible matter in the universe. The machine design is based on the existing and highly optimized RHIC Ion-Ion
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number: 2025-15178 Information at: https://www.nyu.edu/students/health-and-wellness/services/counseling-services/postdoctoral-fellowship-psychology-externs.html Along with your completed application, a
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details, please see: https://hr.utexas.edu/prospective/benefits and https://hr.utexas.edu/current/services/my-total-rew ards. Purpose To provide skilled, professional quality assurance for construction
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current Faculty Fellows, please see https://barnard.edu/BarnardFacultyFellows This is a two-year position beginning on July 1, 2026, with teaching responsibilities during the standard academic year from
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candidates holding a PhD degree in Computer Engineering, Data Science, Computer Science, Electrical Engineering with a strong computational background, or related scientific areas. Proven research experience
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conditions, in large cohort studies as well as randomized controlled trials Perform other duties as assigned Requirements A Ph.D. degree in Neuroimaging, Biomedical Engineering, Electrical Engineering, Physics
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development. Qualifications Minimum Qualifications: Bachelor's Degree in Computer Science, Computer Engineering, Electrical Engineering, or related field Experience with Linux/Unix server administration