61 postdoctoral-image-processing-in-computer-science Fellowship positions in United States
Sort by
Refine Your Search
-
Listed
-
Employer
- University of Michigan
- Harvard University
- Genentech
- AbbVie
- Northeastern University
- Princeton University
- University of Michigan - Ann Arbor
- Carnegie Mellon University
- Nature Careers
- University of Cincinnati
- University of Texas at Austin
- Boston College
- Brookhaven Lab
- Colorado State University
- Creighton University
- George Mason University
- Georgetown University
- Memorial Sloan-Kettering Cancer Center
- Simons Foundation/Flatiron Institute
- University of California
- University of Maryland, Baltimore
- University of Michigan - Flint
- University of Texas Rio Grande Valley
- Vanderbilt University
- Yale University
- 15 more »
- « less
-
Field
-
Postdoctoral Research Fellow in Cardiovascular Physiology and Immunology Yale School of Medicine Vascular Biology & Therapeutics Program Department of Comparative Medicine New Haven, Connecticut
-
omics, label-free microscopy, in vivo screens, and foundational models. The ideal candidate for this role has a strong foundation in both experimental and computational sciences, but exceptional
-
large AI models or their applications. Current PLI projects involve work with language, images, multimodal data, science/math, code, and scientific data. PLI is also focused on AI safety, fairness, and
-
Postdoc Program Elevate your research career to new heights with Genentech’s Postdoctoral Program! Join a prestigious community of early career scientists and kick-start your journey toward becoming a
-
to challenge themselves to find the best solutions for our patients. The AbbVie Postdoctoral Program is one way we are doing just that. AbbVie Postdoctoral Fellows serve as technical experts who investigate
-
Human-Computer Interaction, Information Science, Computer Science, Design, or related fields - Strong record of published research in HCI, CSCW, DIS, or related venues - Demonstrated ability in
-
into the design of a prototype implant to be tested in large animals. The Neural Engineering and Ophthalmology research environments are excellent. The Neural Engineering Training Program and the Vision Research
-
problems in the health sciences, including fields such as healthcare informatics, movement and rehabilitation sciences, medical imaging, remote sensing, computer vision, mental health, data fusion
-
and performance enhancement of power electronic converters and transformer-based solutions. Perform hardware-in-the-loop simulations, prototype development, and bench-level testing to validate design
-
electrophysiology in ex-vivo mammalian retina. Record of publication in retinal research. Experience with fluorescence imaging, electrical stimulation, computational modeling, image processing. Michigan Medicine