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(minimum), accredited trade school graduate (preferred). 5 years + (with trade school) experience in fabrication/machine shop, energy industry or DOE research laboratory OR 10 years + (without trade school
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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facilitate scheduling machine use and also connect with vendors to ensure that equipment is well-maintained. The cell engineering facility director will play a central role in the ODBI community and research
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: 276907870 Department Mechanical & Aerospace Eng Category Research and Laboratory Job Type Full-Time Overview Primary responsibilities are the day-to-day operation of our Machine Shop/Engineering Design Lab
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. The successful candidate will establish and solicit long-term funding for a program focused on (a) foundational research in Artificial Intelligence and Machine Learning (AI/ML), and (b) application-oriented
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operate a variety of machines and equipment including, but not limited to automobile, office equipment, radio, telephone, etc. Work involves considerable exposure to unusual elements, such as extreme
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Sciences Department. The successful postdoc candidate will help build a research program focused on (a) foundational research in Artificial Intelligence and Machine Learning (AI/ML), and (b) application
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and events. Strong computer skills, comfortable using a variety of software, with the confidence and ability to learn new systems. Flexible work schedule required which will include hours on Saturdays
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of museums Experience and working knowledge of academic settings Proficient computer skills _____________________________________ Princeton University is an Equal Opportunity and all qualified applicants will
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials