170 machine-learning "https:" "https:" "https:" "https:" "https:" positions at Northeastern University in United States
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ePaws, Coeus, electronic grants administration and submission systems such as grans.gov, ASSIST, eRA commons, FastLane - Research.gov, and similar systems. Advanced use of computer applications (i.e
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technologies including artificial intelligence, machine learning, robotic process automation, and the like. Audit work performed must adhere to the Institute of Internal Audit's (IIA) Standards
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prior administrative experience in nursing education or health care agency. Must demonstrate advanced computer skills, particularly with Microsoft Word, Excel, and Access. Up to 2 years of experience and
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computer systems Disseminate mass emergency notification alerts when necessary Monitor radio traffic, security alarms, fire alarms, and video security cameras Provide referral services and victim resources
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. Excellent communication skills with a customer (internal and external) service focus. Highly organized and detail oriented; and ability to problem solve effectively. Strong computer and IT knowledge and
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Ability to multi-task and prioritize responsibilities Ability to express oneself clearly and concisely, orally and in writing. Strong computer skills, typing skills, and ability to learn new software Team
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follow through on tasks independently. Computer skills are essential along with an aptitude to learn new tools the ability to navigate the University financial systems to input data and create reports is a
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the supervision of the PI, including proposal development and preparation of high-quality publications in top computer security, privacy, embedded systems, sensing, and networking venues. Pursue research topics
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of leaky faucets; service and correct ruptured lines and open clogged drains using various size machines. Position will require the ability to work in confined spaces such as manholes & ejector pits
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collaborate with academic and industry partners of EAI. Minimum Qualifications: An MS in computer science with a heavy focus on machine learning and LLM-RAG construction and development by the appointment start