33 computer-science-image-processing-"DIFFER" Postdoctoral positions in United States
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of North Carolina at Chapel Hill
- Harvard University
- Nature Careers
- Argonne
- Pennsylvania State University
- Princeton University
- Stanford University
- University of Minnesota
- Case Western Reserve University
- Duke University
- Indiana University
- Rice University
- Rutgers University
- San Diego State University
- Texas A&M AgriLife
- Texas A&M University
- University of Colorado
- University of Denver
- University of Texas at Dallas
- University of Virginia
- University of Washington
- 11 more »
- « less
-
Field
-
medicinal chemistry (drug discovery, organic synthesis, total synthesis, and/or methodology); Experience in biomedical imaging (in vivo fluorescence imaging, photoacoustic imaging, dye engineering, and/or
-
on identifying the brain regions associated with different cognitive processes, but more recent studies seek to understand the nature of the information stored in various brain regions, or representations, and how
-
from and strongly interact with the Helmholtz large-scale infrastructure project “SAFAtor”. Your responsibilities: Processing DAS data from different ongoing experiments in the study region Application
-
neuroscience research with clinical applications to addiction and other mental health concerns. Our work draws on methods from psychology, experimental economics, human neuroscience, and computational psychiatry
-
processes. Conduct tissue culture experiments to support research objectives. Utilize molecular biology and biochemistry tools to investigate the mechanisms underlying HIV-1 assembly. Collaborate with, and co
-
other sciences field by the time of hire and experience in a laboratory environment. Background in fluid mechanics and laboratory experiments is preferred. Data and image processing skills are also
-
Experimental Solid Mechanics Laboratory. This position offers a unique opportunity to conduct cutting-edge research at the intersection of materials science, mechanical engineering, and applied physics
-
, predictive models of neurodegenerative disease with a focus on Alzheimer's Disease. Computational models will be developed that utilize data obtained from a wide range of experiments, from basic biochemical
-
for this position will be a highly motivated individual with experience in deep learning and medical imaging and a PhD degree in computer science, electrical and computer engineering, biomedical engineering
-
volume of imaging and behavioral data from the BrainHealth Project Publish findings Help to secure funding to continue the research program Physical Demands and Working Conditions Long hours working