584 computer-programmer-"Multiple"-"Prof"-"O.P"-"University-of-Southampton" positions at Purdue University
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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 work; appraising
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education! This position could be filled at multiple levels (S2 or S3). The hiring manager will determine the job level based on the skills, experience, and qualifications of the selected candidate. S2
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of experience in providing high-level administrative or project/program management support in a higher education, executive, or professional setting. Experience in handling confidential information with
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with three years total work experience Must have completed Building Services Custodial Development Program, or be enrolled in program within 90 days of hire Ability to supervise and train small (3 – 10
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, program registration, and facility access for internal and external users. In addition, the Assistant Director manages critical business functions including refunds, billing, auditing, payee certifications
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year of supervision experience Preferred: Knowledge of campus buildings and locations Helpful: Must have completed initial entry training, or be enrolled in program within 90 days of hire Must be able
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well as multiple internal and external clients including administrators, faculty, staff, students, partners, vendors, alumni, and speakers. The person in this position is the initial contact for the suite of Offices
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, the Mitch Daniels School of Business, Purdue Computes and the One Health initiative — at https://www.purdue.edu/president/strategic-initiatives. A cover letter is required to be fully considered What We’re
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effectiveness Recommending and implementing improvements to programming in conjunction with program leads and academic advisor Assessing outcome of current activities and recommending and facilitating new
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Details: Senior Data Scientist (P3) Duties: Analyze, manipulate, or process large sets of data using statistical software and SQL. Collect and combine data from multiple sources. Clean and manipulate raw