20 post-doc-image-engineering-computer-vision research jobs at University of Virginia
Sort by
Refine Your Search
-
Listed
-
Program
-
Field
-
The Department of Medicine at the University of Virginia is seeking a Postdoctoral Research Associate to work in the laboratory of Dr. Jeffrey Sturek, MD, PhD. The Sturek Laboratory is an exciting
-
Collaborate with leading researchers within and outside UVA Qualifications: U.S. citizenship required Ph.D. in Data Science, Statistics, Computer Science, Network Science, Physics, Engineering, Sociology
-
research program sponsored by federal agencies such as the U.S. Department of Defense and the National Science Foundation (NSF). The focus of the research is on developing innovative physics-informed deep
-
science, engineering, sociology, economics, management, or related fields). We seek applicants with strong computational and statistical skills, experience with managing large datasets, and fluency with
-
experimental and computational angles. The candidate will have opportunities to drive his/her own research project(s), develop fellowship applications, write manuscripts, mentor junior trainees, and learn skills
-
posting and will remain open until filled. Physical Demands This is primarily a sedentary job involving extensive use of desktop computers. The job occasionally requires local and regional travel to attend
-
that will be employed include flow cytometry, confocal and electron microscopy, in vivo two photon imaging, behavioral studies and transcriptomic techniques. The successful candidate will join the Center
-
Charlottesville area, visit UVA Life and Embark CVA . This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings
-
experimental and computational angles. The candidate will have opportunities to drive his/her own research project(s), develop fellowship applications, write manuscripts, mentor junior trainees, and learn skills
-
data issues. Utilizing machine learning techniques as appropriate for data analysis. Developing computing programs and software to support research initiatives. Applying new methodologies to real-world