170 assistant-professor-computer-science-and-data-"Meta" Fellowship positions at Harvard University
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
Details Title Postdoctoral Fellow - Neural Engineering at Harvard BIONICs Lab School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Bioengineering Position
-
Details Title Postdoctoral Fellow, Human Flourishing Program, IQSS School Faculty of Arts and Sciences Department/Area Institute for Quantitative Social Science (IQSS) Position Description The Human
-
, scientists, clinicians and artists that work at the intersection of art, cell biology, design, materials science, and computational modeling. Insta: Studio_DBG YouTube: Disease Biophysics Group Website
-
Position Description We are seeking a Research Fellow with an undergraduate or masters degree in Biomechanics, Kinesiology, Movement Science, Physiology, or Biomedical Engineering, to assist with data
-
experience, will work as part of a larger team to assist with collecting and analyzing data gathered from human subjects, both in field, clinic and lab studies as part of evaluations of the technology. A large
-
modeling is a plus. Special Instructions Contact Information Professor Daniel J. Jacob Contact Email djacob@fas.harvard.edu Equal Opportunity Employer Harvard is an equal opportunity employer and all
-
and Applied Sciences Department/Area Electrical Engineering/Computer Engineering/Computer Science Position Description Project Deep learning plays an essential role in the operation of an autonomous
-
: Experience with inverse modeling is a plus. Contact Information: Professor Daniel J. Jacob Contact Email: djacob@fas.harvard.edu Equal Opportunity Employer: Harvard is an equal opportunity employer and all
-
experience, will work as part of a larger team to assist with collecting and analyzing data gathered from human subjects, both in field, clinic and lab studies as part of evaluations of the technology. A large
-
. • Expertise in research design and data analysis, including any of the following: clinical trials, implementation science, economic evaluation, digital health, statistical analysis for clinical trials, big data