170 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"P" positions at Princeton University in United States
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collaboratively with a diverse range of stakeholders. • Strong organizational and project management skills, with the ability to manage multiple priorities and meet deadlines. • Experience in data collection
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position entails drafting and workflow management of contracts and agreements for third-party providers; coordinating documents and data throughout the selection process in the Global Program System (GPS
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iLab, approving access to CIF doors through Facilities, and approving access to instrument active directories. Create data repository system in central data server and customize for individual users
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for: Benchmarking SOLEDGE3X simulations against experimental data from the WEST tokamak (20%) Extending the SOLEDGE3X code to a fully 3D version, including 3D magnetic geometry, working closely with CEA collaborators
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to: assembly of printed circuit boards, fabrication and assembly of chassis’, field wiring of chassis, racks, and equipment. Record and document system performance data in accordance with established PPPL
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; provide detailed admission information. Respond to email inquiries and reach out to campus contacts as needed. Greet prospective applicants, explain the admission process, and provide details about academic
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tone across all web pages. ● Collaborate with event partners to gather and publish timely updates, announcements, and event information. ● Support marketing efforts including the printing and
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well as the desire and ability to learn other electronic information systems used for data entry and reporting Prior experience that demonstrates attention to detail and organizational skills Excellent interpersonal
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communication skills along with discretion, good judgment, and a commitment to keep confidentiality of all data related to Princeton and its alumni and donors. A Bachelor’s degree and two to four years
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that meet campus needs This requires the Senior Director to remain current with trends in data science, machine learning, deep learning and AI technologies while anticipating faculty needs and strategically