34 image-processing Postdoctoral positions at University of Washington in United States
Sort by
Refine Your Search
-
Position Description The Kim Lab is seeking a full-time postdoctoral scholar with experience in single-unit/LFP recording and/or calcium imaging in rodents. This NIMH-funded position focuses on investigating
-
research findings and assists in the reporting of the results. Processing and visualizing fMRI data. Conducts ultrasound-based therapies and imaging. Conscientious discharge of research responsibilities
-
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 methods to advanced imaging techniques
-
repository and computer servers. Run existing PET/MR brain image processing pipelines on the computer servers, produce the results, and communicate with the group members. Write computer codes for the above
-
-threatening infection of heart valves. The postdoc would lead an investigation of bacteria-blood cell interactions using flow cytometry, imaging flow cytometry and gene expression analysis with nanostring
-
Position Summary The Integrated Biomedical Imaging Laboratory is seeking a Postdoctoral Research Associate interested in developing novel hybrid noninvasive imaging systems for studying the pregnant
-
processing of social information in patients with psychiatric conditions remain largely unclear. We use a suite of cutting-edge techniques, including in vivo multi-photon imaging, fiber photometry, and custom
-
. The postdoc would lead an investigation of bacteria-blood cell interactions using flow cytometry, imaging flow cytometry and gene expression analysis with nanostring nCounter®. The postdoc would also
-
, such as spatial transcriptomics, proteomics, and multiplexed imaging, to analyze brain tissue. Lead data analysis and interpretation, integrating multi-omic and imaging datasets to identify cellular and
-
with a group of highly motivated scientists to employ interdisciplinary approaches such as retinal cell biology, functional genomics, imaging, and biochemistry. The Chen Lab has a well-recognized