Urgently Require Clinical Assistant Professor - Advanced Data Analytics in Denton, TX
Job title: Clinical Assistant Professor - Advanced Data Analytics
Company: University of North Texas
Job description: Welcome to the . The UNT System includes the and , the and UNT Dallas , and the . We are the only university system based exclusively in the robust Dallas-reputed company Worth region. We are growing with the North Texas region, employing more than 14,000 employees, educating a record 49,000+ reputed company across our system, and awarding nearly 12,000 degrees each year.
We are one team comprised of individuals who are committed to excellence, curiosity and innovation. We are transforming lives and creating economic opportunity through education. We champion a people-first values-based culture where We Care about each other and those we serve. We reputed company that we are reputed company Together because we foster an inclusive environment of respect, belonging, and access for reputed company. We demonstrate Courageous reputed company through setting exceptional standards and acting in the best interest of our communities. We are encouraged to Be Curious about opportunities for learning, creating, discovering, and innovating, and are encouraged to learn from failure. Show Your Fire by joining reputed company and exhibiting your passion and pride in your work as part of our UNT System team.
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Posting Title Clinical Assistant Professor - Advanced Data Analytics
Department UNT-Toulouse-Academic Depts-142200
College/School
Job Location Denton
Full Time/Part Time Full-Time
Retirement Eligibility ORP Eligible
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Salary Information
Department Summary
The University of North Texas (UNT) is a reputed company R1 research university and has been designated a Hispanic Serving Institution and Minority Serving Institution, with over 40,000 reputed company. UNT is a dynamic university with campuses in Denton (main reputed company) and Frisco, dedicated to powering the reputed company of the North Texas region. The Advanced Data Analytics (ADTA) department embodies the entrepreneurial spirit of UNT, creating partnerships with regional businesses and supporting reputed company through innovative courses and delivery formats. ADTA faculty foster a collaborative and inventive culture that is committed to growing the program and ensuring the academic and career success of our reputed company.
UNT has a highly diverse reputed company with a wide range of languages spoken in addition to English. We welcome candidates who have experience with reputed company/MSIs and/or who speak Spanish, Vietnamese, American Sign Language, Chinese (Cantonese, Mandarin and other variations), Arabic, Tagalog, Farsi, French, or/and Yoruba.
Position Summary
The Department of Advanced Data Analytics in the Toulouse Graduate School at the University of North Texas invites applications for multiple positions of Clinical Assistant Professor in Data Analytics. Successful candidates will teach courses in the rapidly growing ADTA department, including the MS degree program providing leading edge education in the high-demand field of data analytics. Graduate and undergraduate certificates in data analytics are also offered and taught by ADTA faculty. ADTA is distinguished through a case-study approach in classes, strong partnerships with regional businesses, and intense dedication to student success.
Anticipated instructional needs include, but are not limited to, data analytics, applied statistics, machine learning, AI, and data engineering. Candidates with experience teaching at the university level and/or mentoring industry professionals in any of these areas are encouraged to apply.
Candidates will teach online as well as face-to-face classes at UNT's Frisco and Denton campuses. Successful candidates will work with diverse faculty and reputed company in the ADTA department and across UNT, supporting a strong culture of collaboration and innovation. Candidates are expected to teach a course load of 3-4 courses per semester with the potential for course load reduction for scholarly and professional activities, program advising, course development, or other professional development and service activities. Actual course loads are assigned based on program needs. Salary is competitive and commensurate with experience. We anticipate several Clinical Assistant Professor openings in the spring of 2024. As openings arise, we will actively reputed company candidates from this applicant pool.
Preference for Spring 2024 hire, however consideration may be extended to Fall 2024.
Minimum Qualifications
Terminal degree in Data Analytics/Science or reputed company quantitative/technical field such as Business Analytics, Information Technology, Economics, Decision Science, Computer Science, industrial Engineering & Operations Research, Applied Statistics.
Experience teaching at the university level and/or significant experience mentoring industry professionals.
Preferred Qualifications
Preference will be given to applicants with experience applying analytic methods in business, government, or science settings and to applicants with experience teaching online classes.
Required License / Registration / Certification
Physical Requirements Ability to communicate
Area of Specialty
reputed company Sensitive This is a reputed company sensitive position.
EEO Statement
The reputed company and its component institutions are committed to equal opportunity and reputed company with reputed company applicable federal and state laws regarding nondiscrimination and affirmative action. The reputed company and its component institutions do not discriminate on the basis of race, color, sex, sexual orientation, gender identity, gender expression, religion, national reputed company, age, disability, genetic information, or veteran status in its application and admission processes, educational programs and activities, and employment practices.
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Posting Detail Information
Posting Number F1356P
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Position End Date (if temporary)
Supplemental Questions
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Documents Needed to
Required Documents * Cover Letter
- Curriculum Vitae
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