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Posting Details Position Information Fiscal Year 2025-2026 Position Title Maintenance Assistant Electrician Classification Title Maintenance Assistant Electrician Department Electric Shop Posting
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technical knowledge, expertise, and hands-on experience in the field of power electronics. Additional knowledge of electric motor design and the control of electric machines is considered an asset. You have
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of an assigned Educational Technology Services (ETS) administrator, plan, organize, and supervise the programming technical staff and computer applications functions for the District Administrative Systems
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. degree in any quantitative science, preferably in Computer Science, Electrical and Computer Engineering, Biomedical Engineering, Applied Mathematics, and Neuroscience. Candidate should have a working
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. The Enrollment Counselor supports prospective and current military-connected students throughout the enrollment lifecycle - from inquiry through retention - while ensuring compliance with federal and Department
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LevelBachelor Degree or equivalent Skills/Qualifications Students of a master degree on Electrical and Electronics Engineering, Telecommunication or similar. Specific Requirements - Background on design of mixed
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channel. This will be followed by designing a new resilient waveform for UOWC and developing a computer-based simulation to evaluate its performance. Finally, the study will use existing UOWC channel
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all new and current applications and software upgrades applicable to the clinical systems. Assists in the analysis, design, testing and implementation of clinical information systems and solutions
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State University of New York University at Albany | Albany, New York | United States | about 15 hours ago
, New York State's capital, the University is convenient to Boston, New York City and the Adirondacks. Job Description: The Department of Electrical and Computer Engineering within the College
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part of the diverse Caltech community. Job Summary This position involves research and evaluation of state-of-the-art algorithms for detecting and classifying safe landing zones using computer vision