Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
these or related fields, particularly those who may bring a new technology or perspective to bear on the work in the lab. The successful candidate will work with Dr. Kruse to develop an independent research project
-
bring a new technology or perspective to bear on the work in the lab. The successful candidate will work with Dr. Buratowski to develop an independent research project within the scope of the lab’s
-
Details Title Postdoctoral Fellowship in Reinforcement Learning, Probabilistic Methods, and/or Interpretability School Harvard John A. Paulson School of Engineering and Applied Sciences Department
-
novel approaches such as digital technology or task-sharing for scale-up of proven interventions. We welcome applications from recent PhD graduates who are interested in these or related fields
-
eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . With
-
computational and experimental postdoctoral fellows, graduate, and undergraduate students, and a software and web engineer. Salary and Benefits This position is salaried and benefits eligible. Information
-
of disciplines—architecture, landscape architecture, urban planning and design, design engineering, real estate and housing—with an emerging research program and a robust public program of lectures and exhibition
-
solver who wants to be part of a dynamic team. Learn more about the innovative work led by Dr. Don Ingber here: https://wyss.harvard.edu/technology/erapid-multiplexed-electrochemical-sensors-for-fast
-
benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . With
-
Number: 15956 School: Harvard John A. Paulson School of Engineering and Applied Sciences Position Description: Cynthia Dwork , Gordon McKay Professor of Computer Science in Harvard SEAS' Theory