168 data-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData"-"BioData" positions at Princeton University
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supports the Assistant Dean by coordinating meetings and keeping the Assistant Dean’s calendar, collecting and sharing information, preparing reports, managing social media and communications, maintaining
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priorities simultaneously Experience with exercising discretion with confidential information Demonstrated experience in preparing and completing financial transactions and reporting, including preparing
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The Department of Electrical and Computer Engineering seeks an agile, energetic, adaptive team member to fill the role of Undergraduate Assistant. The Undergrad Assistant will provide dynamic
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information with peer tutors, may act as ambassador to course/precepts or attend instructional team meetings Participate in program evaluation, including data collection and analysis – work with McGraw Center
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digitalization and decarbonization projects. The individual will oversee and manage research projects that gather operational, policy, and performance data from water and wastewater utilities and other partners
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should provide contact information for three references; no references will be contacted until the final stage of the hiring process. This position is subject to the University's background check policy
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administration of PRINCO’s cloud infrastructure and services. This will include the development and maintenance of system reports, dashboards, data integrations, cloud platforms, and process improvements
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programs. • Work with the Vendor Manager on contract and vendor compliance and provide support in analyzing and tracking vendor risk data. Assist in collecting and tracking relevant license and contract
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proactively review/monitor data management (storage, encryption, backups, and security permissions) for timely remediation Assist users with technical requests and setups including new hardware, software
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environment. Expand your technical expertise while supporting research projects across multiple academic fields, applying advanced techniques such as large-scale data processing and GPU-accelerated computing