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Job ID: 88494

Adjunct Instructor
University of North Texas

  • Jan. 4, 2017
 
  • Adjunct Instructor
  • University of North Texas
    Denton, TX
    United States
 
  • Open until filled
  • Spring and Summer 2017
  •  
 
  • Adjunct/Visiting Professor
  • Sciences - Computer Science
    Engineering
 
 
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UNIVERSITY OF NORTH TEXAS


 



   
 

The Toulouse Graduate School seeks qualified individuals for its Adjunct Instructor Pool and welcomes applicants at any time. This posting is for the Spring and Summer 2017 semesters. The specific courses involved may vary from semester to semester and openings to teach these courses develop on a periodic basis, depending on department teaching needs.

The anticipated need is for Adjunct Instructors to perform tasks that may include but are not limited to developing and teaching graduate level (5000 level) data science courses such as advanced data analysis, data mining, large data visualization, big data analytics.

The University of North Texas System is firmly committed to equal opportunity and does not permit – and takes actions to prevent – discrimination, harassment (including sexual violence), and retaliation on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity or expression, age, disability, family status, genetic information, citizenship or veteran status in its application and admission processes, educational programs and activities, facilities, and employment practices. The University of North Texas System immediately investigates and takes remedial action when appropriate.

The University of North Texas System also takes actions to prevent retaliation against individuals who oppose a discriminatory practice, file a charge, or testify, assist or participate in an investigative proceeding or hearing. MS in Data Science or related quantitative/ technical field (e.g., Computer Science, Statistics, Operations Research, Mathematics).

Candidates must be effective teachers who are willing to teach online as well as traditional classes. Candidates should have experience teaching in either 1) quantitative courses – such as, data analysis, applied statistics, or 2) information technology courses – such as, machine learning, data engineering, applications of Python, R, SQL, Hadoop, MapReduce.


 
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