Sort by
Refine Your Search
-
design and reinforcement learning algorithms. We combine statistical methods with online reinforcement learning algorithms to provide inferential tools. The successful applicant will be expected to develop
-
Program is a transformational award for early career researchers who show exceptional promise of becoming outstanding leaders in academic science, making foundational discoveries while building an inclusive
-
the analyst on any tasks that the Senior Data Scientist assigns to them. Serves as a resource to the team for computer programming and statistics. Occasionally, group training on specific tools or models
-
Type: Postdoctoral Location: Cambridge, Massachusetts 02138, United States of America [map ] Subject Areas: Computer Science / All areas Economics Mathematical Physics / Mathematical Physics
-
to detail and organization skills Interest in learning and strengthening existing skillsets Strong technical and programming skills, familiarity with current deep learning techniques, with a focus on computer
-
opportunity to shape the future of medicine. About the Department of MEDscience: HMS MEDscience’s mission is to inspire and empower a rising generation of STEM leaders. Our program immerses students in
-
School: Faculty of Arts and Sciences Department/Area: Kempner Institute for the Study of Natural and Artificial Intelligence Position Description: The Engineering Fellowship Program at Kempner Institute
-
and Sciences (FAS) is the historic heart of Harvard University. It is the home of Harvard?s undergraduate program (Harvard College, founded in 1636) as well as all of Harvard?s Ph.D. programs
-
physics, biology, economics, computer science, AI, statistics, and other disciplines Appl Deadline: 2025/11/15 11:59PM (posted 2025/08/03, listed until 2025/11/15) Application Description: Apply
-
Interest in learning and strengthening existing skillsets Strong technical and programming skills, familiarity with current deep learning techniques, with a focus on computer vision Contact Information