287 computer-programmer-"https:"-"FEMTO-ST"-"CEA-Saclay" "https:" "https:" "https:" "https:" "https:" positions at University of Texas at Austin
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experience may be substituted as appropriate. Preferred Qualifications More than the required years of experience with clerical functions. Certificate of completion of Medical Assistant program. Experience
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) graduate program and half in the Department of Statistics and Data Sciences. This position is open to applicants at all ranks, with a preference for hiring at the assistant or associate professor level. For
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organization and process improvement. Serves as a liaison for major client(s). Lead one or more Capital Improvement Program projects, high risk projects, projects with a high level of complexity, or other
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Annuity 403(b) and a Deferred Compensation program 457(b) Flexible spending account options for medical and childcare expenses Robust free training access through LinkedIn Learning plus professional Tuition
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benefit retirement plan Additional Voluntary Retirement Programs: Tax Sheltered Annuity 403(b) and a Deferred Compensation program 457(b) Flexible spending account options for medical and childcare expenses
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success for all students. Responsibilities Oversee Natural Sciences Advising Center survey and data collection processes or provide academic advising support for students in a CNS student program or
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Job Posting Title: Administrative Program Coordinator for Experiential Learning, College of Natural Sciences ---- Hiring Department: College of Natural Sciences ---- Position Open To: All Applicants
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and leadership for infrastructure type major Capital Improvement Program (CIP, >= $10M TPC) and minor (< $10M TPC) projects at UT Austin for highly technical, mission critical, and sensitive project
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assigned. Required Qualifications Doctoral degree in Medicine (MD or DO) Completion of ACGME Residency Program in the United States Current Board certification in Family Medicine, Internal Medicine
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position in Computational Medicine. We are particularly interested in recruiting a colleague whose research program combines mathematical, computational, and physical approaches to solving problems in