246 coding-"https:"-"FEMTO-ST"-"L2CM"-"CSIC"-"P" "https:" "https:" "https:" "https:" "https:" "https:" positions at Purdue University
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substantial Benefit Package including medical, dental, and vision insurance as well as a generous paid time off package for sick and vacation days Career Stream Professional 2 Pay Band S065 Job Code #20002140
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the supervisor in charge Documentation – Receives the work requests and ensures that work is done is a workman like manner, and work is done to codes and university standards. Provides feedback to improve our P.M
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, dental, and vision insurance as well as a generous paid time off package for sick and vacation days Career Stream Professional 2 Pay Band S120 Job Code #20002707 Career pathmaker: https://www.purdue.edu/hr
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computing, and data-intensive workflows Demonstrated ability to design, code, optimize, and maintain complex applications Excellent problem-solving skills with creativity and flexibility in approaching unique
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Contribution Waiting Period Benefit Statement: Purdue University offers a substantial Benefit Package -https://www.purdue.edu/hr/Benefits/employeebenefits/benefits_enrollment/pdf/summaries/2025/Benefits-summary
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, dental, and vision insurance as well as a generous paid time off package for sick and vacation days Career Stream Professional 3 Pay Band S070 Job Code#20002211 Link to Purdue University's Compensation
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please visit: https://bit.ly/2VJGTN0 For more information about the Purdue University Police Department please visit: www.purdue.edu/police For further information about the Police Officer hiring process
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generous paid time off package for sick and vacation days Career Stream Fire, Police, and Skilled Trades 1 Pay Band S055 Job Code #20003673 Career pathmaker: https://www.purdue.edu/hr/careerpathmaker/ Who We
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package for sick and vacation days Career Stream Support 2 Pay Band S035 Job Code #20003997 Link to Purdue University's compensation guidelines: https://www.purdue.edu/hr/mngcareer/compguidelines/index.php
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present data effectively. Programming/Coding: Basic knowledge of programming languages relevant to data analysis (e.g., Python, R, SQL) is highly valuable. Preferred Qualifications: Familiarity with