458 data-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at Princeton University
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experience from coursework and/or internships is a plus. Optimally, the candidate has demonstrated experience with laboratory rodent care and handling. Math and computer proficiency, along with meticulous
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administrative initiatives • Provide information and guidance to inquiries via phone, email, and in person • Provide support for two committees (draft, edit, and maintain committee materials; maintain related
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Applicants must submit the following materials in PDF format: * Cover letter (please indicate your area(s) of expertise and interest, e.g., biology, ecology) * Curriculum vitae * Contact information for three
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Emergency Medical Services (EMS), with responsibilities including call reception, information gathering, and dispatching first responders. DPS receives 4,700+ emergency and 33,000+ non-emergency calls
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may be higher, depending on the position and factors listed above. The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information. 36.25 No
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responsible for the timely and accurate end-to-end processing of supplier invoices including receipt, data entry and matching to purchase orders, following established business rules and in preparation
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contact information of two references. Responsibilities include: - research work (helping design and implement online experiments, simulating models of learning and decision-making, assistance in fMRI
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Police Officer Scheduling System (POSS) and inputs data into time collection as needed as well as approving and submitting overtime slips and time out of the workplace approval (vacation, sick, personal time
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instructions. Custodial experience. Previous work experience in the cleaning industry environment or equivalent. Must demonstrate basic computer data entry skills for email, timesheet, and training. Knowledge
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process diagrams that articulate the research lifecycle, specifically illustrating data collection flows, experimental phases, and analytical milestones. Data Synthesis: Convert complex datasets into high