480 coding-"https:" "https:" "https:" "https:" "https:" "https:" "L2CM" positions at University of Florida in United States
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, or similar field and three years of experience; Doctoral Degree in data science, statistics, bioinformatics, analytics, or similar field and one year of experience. Preferred: Clean, well-documented coding
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timekeeping standards. This requires the incumbent to be knowledgeable of UF payroll practices and standards including reporting codes, holidays, PTO submissions, and time reporting. Responsible for assisting
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earned from an institution outside the U.S. must be evaluated by a credentialing service approved by National Association of Credential Evaluation Services (NACES): http://naces.org/ . If an accommodation
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experience. Desirable skills Experience designing, maintaining, and/or working with databases of low to moderate complexity, using SQL programming language. Experience with the coding language R, including R
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dictations and a coding outline; critiques their dictation. Ensure residents are given laboratory reports corrected by the attending pathologist, ensuring continuous feedback. Help with numerous research
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Excellent working knowledge of plumbing distribution and mechanical codes SKILLS: Skill in using pipe cutter, reamer, threading machines, and other specialized tools and equipment ABILITIES: Ability to plan
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employee records in myUFL, including FTE changes, job codes, and reclassifications as assigned. • Track and report on recruitment activity, turnover rates, salary reviews, and other HR-related metrics
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and then code for payment. Will purchase all unit supplies and make sure meal vouchers are available, etc. Books all the travel and then handles all travel reports working directly with fiscal. Is the HSP
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project accounts. Format and prepare data for reporting and reconciliation purposes. Review all transactions for accuracy, ensuring proper accounting codes, fund usage, and compliance with university
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for events to include unauthorized access, insider threat, hacking or penetration attempts from known threats, identifying presence of unauthorized software or malicious code on both classified and