Post-Doc Research Associate - Dr. Tropsha's lab

University of North Carolina- Chapel Hill

United States

July 18, 2022

Description

Posting Information

Posting Details

Department SOP-CBMC - 452100

Posting Open Date 06/17/2022 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position Title Post-Doc Research Associate - Dr. Tropsha's lab Vacancy ID PDS003501 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina, US Hiring Range Dependent on Experience and Qualifications. Proposed Start Date 07/01/2022 Estimated Duration of Appointment 12 Months

Position Information

Primary Purpose of Organizational Unit

The UNC Eshelman School of Pharmacy (www. pharmacy.unc.edu) is one of five health science schools (Pharmacy, Nursing, Dentistry, Public Health, Medicine) at the University of North Carolina at Chapel Hill and is one of the oldest health science academic programs at Chapel Hill. The School teaches approximately 600 PharmD students and 145 graduate students. The School has built a reputation for its continued pursuit of excellence, rigorous education and training programs, cutting-edge multidisciplinary research, progressive pharmacy practices, efficient business operations, and its outstanding faculty, staff, and students. The School was named the number one School of Pharmacy in the U.S. by the U.S. News and World Report. The School has experienced unprecedented growth and success and continues to strategically position itself for sustained impact, as articulated in the School's Strategic Plan (https: // pharmacy.unc.edu/about/oe/strategic-plan/).

Our Vision is to be the global leader in pharmacy and pharmaceutical sciences. Our Mission is to prepare leaders and innovators to solve the world's most pressing health care challenges. We are Advancing Medicine for Life through innovation and collaboration in pharmacy practice, education, research, and public service.

Position Summary

This position is responsible for developing computational methods for drug discovery, including antiviral drug discovery, and refine predictive and generative modeling techniques.

Minimum Education and Experience Requirements

Ph.D. in machine learning, or related quantitative field (e.g., physics, mathematics, computer science)

Required Qualifications, Competencies, and Experience

Ph.D. in machine learning, or related quantitative field (e.g., physics, mathematics, computer science)

Preferred Qualifications, Competencies, and Experience

Advanced knowledge of statistical modeling and probabilistic learning methods, including deep machine learning. Ability to prototype models in Python, preferably, and communicate scientific results orally and in print.

Special Physical/Mental Requirements Special Instructions

For information on UNC Postdoctoral Benefits and Services click here

Quick Link https: // unc.peopleadmin.com/postings/233561

Posting Contact Information

Department Contact Name and Title Mac Balatico

Department Contact Telephone or Email mtb671@email.unc.edu Postdoctoral Affairs Contact Information

If you experience any problems accessing the system or have questions about the application process, please contact the University's Equal Employment Opportunity office at (919) 966-3576 or send an email to equalopportunity@unc.edu.

Please note: The Equal Employment Opportunity office will not be able to provide specific updates regarding position or application status.

Equal Opportunity Employer Statement

The University of North Carolina at Chapel Hill is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender, gender expression, gender identity, genetic information, race, national origin, religion, sex, sexual orientation, or status as a protected veteran.

Optional and Required Documents

Required Documents

  • Curriculum Vitae / Resume
  • Optional Documents

  • Cover Letter
  • Supplemental Questions

    Required fields are indicated with an asterisk ().

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