TA Positions Available, Program Planning

TA Positions Available, Program Planning

Dr. Deb McFarland, a fantastic mentor, is seeking 2 TAs to support the Program Planning class (Fri 8-11a). If interested, please email your resume to Dr. McFarland (dmcfarl [at] emory [dot] edu) by Monday Aug 8th. As a TA, you will:

  • strengthen your knowledge of global health program management (see course description below, also on Atlas)
  • receive mentored experience in teaching
  • receive mentorship from Dr. McFarland, a well connected (WHO, GAVI, BMGF, CDC) global health leader including a reference and letter of support as needed

you cannot be already enrolled in GH 521 Program Planning.

Prerequisites: Second year global health students only. This course is specifically designed for those who will be working in developing countries and/or countries in economic and political transition-working in the public sector, the non-governmental sector, the community or international organizations. In this course, we focus on two primary resources in any organization or program-people and money-and the processes leading to high performance and quality. While derived from management theory and practice, the focus of this course is less on theory and more on application. This course focused on increasing your ability to analyze, explain and diagnose managerial and organizational dilemmas and generate solutions that are feasible. This will be done primarily through cases, group discussions and exercises. Lectures will provide background and theory.


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  • The Summer Institute in Statistics and Modeling in Infectious Diseases (SISMID) July 15, 2024 – July 31, 2024 Conference / Symposium Event Type: Conference / SymposiumSeries: The Summer Institute in Statistics and Modeling in Infectious Diseases (SISMID)Speaker: Leaders in the FieldContact Name: Pia ValerianoContact Email: pvaleri@emory.eduLink: https://sph.emory.edu/SISMID/index.htmlThe Summer Institute in Statistics and Modeling in Infectious Diseases (SISMID) is designed to introduce infectious disease researchers to modern methods of statistical analysis and mathematical modeling.
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