168 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Princeton University in United States
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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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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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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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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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for the planned study project in Germany (letter of motivation; 1 - 3 pages). Please also read our important information for scholarship applicants / Section B, Point1 Link is external, Link opens in new window
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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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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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workshop annually in the fall and is happy to review essay drafts from Princeton’s undergraduate and graduate student applicants who attend this workshop. Additional Information The CLS Program is quite
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: - Plan, coordinate, and execute a wide range of center events, including meetings, conferences, workshops, information sessions, and special programs. - Manage all event logistics, such as securing venues
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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