658 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Ulster University" positions at Pennsylvania State University
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handling/splicing, lab equipment usage and preferentially, computer controlled-automation/data collection DoD industrial base needs in the area of fiber optics Inherently inquisitive and willing to learn new
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computation Computer vision Modeling Machine learning tools The successful candidate will work up to 20 hours/week during the fall and spring semesters and 40 hours/week over the summer. This is a paid
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intelligence (AI) and machine learning (ML) through automation, design optimization, predictive maintenance, quality control, and many other enhancements with use of AI to produce more efficient manufacturing
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authorized DoD SkillBridge partner and welcomes all transitioning military members to apply. You will: Lead the production and management of project schedules and work breakdown plans. Coordinate schedules and
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all transitioning military members to apply. You will: Coordinate a large volume of complex domestic and international travel in support of program engineers (researching visit requirements, booking
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sanitize hot chocolate machine, whipper, coffee urn, etc. Set-up display, as directed Stock shelves with food in the sales area Check stock of food and supplies Notify supervisor of needs and follow-up
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. This position will be filled as either a Research and Development Engineer or a non-tenure Research Faculty. ARL is an authorized DoD Skill Bridge partner and welcomes all transitioning military members to apply
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, buffing, and shampooing equipment, such as scrubbing machine, vacuum, wet-dry pick-up machine, etc. and hand tools, as required; sweep, scrub, strip, seal, wax and shampoo various types of floors and floor
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authorized DoD SkillBridge partner and welcomes all transitioning military members to apply. You will: Ensure the maximum availability, stability and health of required program resources below to support
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background in one or more of the following areas: dynamics analysis of power systems, machine learning, cybersecurity, renewable energy, microgrids, hands-on experiences on hardware-in-the-loop projects