78 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation"-"U.S" Fellowship positions at Harvard University
Sort by
Refine Your Search
-
computational efforts across multiple labs at Harvard’s Faculty of Arts and Sciences and Medical School. As part of this effort, the Rubin lab is implementing new methods of studying aging in vitro using brain
-
. The program fosters a dynamic intellectual community through a weekly seminar, professional development workshops, and engagement with the broader Weatherhead Center and Harvard communities. Fellows
-
dynamic intellectual community through a weekly seminar, professional development workshops, and engagement with the broader Weatherhead Center and Harvard communities. Fellows are expected to be on campus
-
practitioner fellows—in residence at Harvard University for the academic year. The program fosters a dynamic intellectual community through a weekly seminar, professional development workshops, and engagement
-
the development and translation of rehabilitation technologies is strongly preferred. Prior experience with embedded systems or biomechanical evaluation in wearable devices is desired. Special Instructions Contact
-
. They will also have the opportunity to work on other problems related to global atmospheric chemistry, air quality, and model development. Basic Qualifications Ph.D. in atmospheric science and substantial
-
. This position is specifically targeted to candidates interested in computation in recurrent neural networks and is funded for multiple years by the NIH. Responsibilities: Successful candidates will conduct
-
welcome applications from recent PhD graduates interested in this field. The successful candidate will work to develop an independent research project within the scope of the lab’s research focus. In
-
of intelligence, including mathematical and computational models of intelligence, cognitive theories of intelligence, and the neurobiological basis of intelligence. Research and development of new AI or ML
-
on leveraging innovative digital technologies for scaling up proven psychosocial interventions across underserved settings in the United States. These research efforts involve participating in the development