154 power-electronic "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at Northeastern University
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management and prioritization skills Ability to manage multiple projects and responsibilities in a fast-paced environment Excellent problem-solving and analytical skills with proven ability to strategize
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knowledge of computer and assistive technologies; disability practices and procedures including applicable federal and state laws, policies, regulations, and standards (e.g., Section 504 and the ADAAA
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strongly preferred. Experience with project-based teaching, mentoring, consulting, or supervising applied projects preferred. Strong communication skills and ability to guide graduate students from diverse
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Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL), particularly in Natural Language Processing (NLP) and Computer Vision (CV) Familiarity with genomic and bioinformatic databases
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electronically readily available for review and audit Assist PIs with submitting all grant related transactions including but not limited to no-cost extensions, rebudgets, effort reductions, carryovers, advance
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customer service experience (in-person, phone, electronic) with strong conflict resolution skills Experience with ServiceNow, Banner, Workday, PowerFAIDS, and/or Slate preferred Proven ability to deliver
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harnessing emerging technologies to advance human potential and solve the challenges of the future. Powered by experience-driven teaching, learning and research, CAMD believes that the fields of design
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degree in fields such as Design, Human-Computer Interaction, Social Sciences, or Engineering Experience: 3-5 years in design, user experience, service design, or a related field, with a focus on design or
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electrical and electronic equipment. The role requires regular physical activity including setting up and breaking down lab equipment, and the ability to lift up to 50 lbs. This position may be hired
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About the Opportunity Responsibilities: Teach selected undergraduate or graduate courses in the day and evening programs in the Department of Electrical and Computer Engineering. Course topics might