594 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "Inserm" positions at Purdue University
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accurate records of donations, grants, and program expenses Participate in budget tracking and forecasting activities Prepare reports for internal and external stakeholders Collaborate with the Finance and
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members through functional training classes, motivate participants to achieve their fitness goals, and help build a positive and inclusive community within the F45 program. The goal of this position is to
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program grants, billing and cost center management, or gifts processing. Serve as a resource for areas of responsibility. May develop financial reports and analyze and resolve or recommend action on unique
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or Associate Professor level. Purdue University has a strong existing program in Small Animal Internal Medicine, and the successful applicant will join a team of six ACVIM-boarded internists with interest areas
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of program activities. Coordinate scheduling, logistics, and resources for workshops, seminars, and other events related to these programs Manage event attendee registration Education Bachelor’s Degree
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Services Custodial Development Program, or be enrolled in program within 90 days of hire Ability to supervise and train small (3 – 10) groups Ability to read, write and speak English; must be able
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for coordinating day-to-day operational activities of Purdue’s sanctions and export controls program and developing agile and comprehensive responses to university initiatives that allow researchers to comply with
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work well in a team environment Proficient computer and related software skills, e.g., word processing, spreadsheets, database, data query, Internet, etc. Microsoft Word, Excel, and Outlook, Google
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maintenance of courses within the assigned program. What to expect in this role: Directly supervise full and part-time faculty including interviewing, hiring, and training; planning, assigning, and directing
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and great opportunity of interdisciplinary training in machine learning and functional genomics. The project combines cutting-edge computational approaches, especially state-of-the-art machine learning