116 post-doc-image-engineering-computer-vision Postdoctoral positions at University of Washington
Sort by
Refine Your Search
-
research laboratory uses stem cells for the study and treatment of diabetes. We have a wide diversity of projects involving stem cells differentiation, genetic engineering with CRISPR, disease modeling
-
machine vision approaches, coupled with a strong interest in evolutionary questions. Preferred Qualifications Education: No additional education unless stated elsewhere in the job posting. Certifications
-
-era quantum computers to fault-tolerant/error-corrected quantum computing and simulation, and to achieve quantum advantages in fundamental physics. Our postdoctoral fellows (PDs) work with faculty
-
Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 16-Aug-25 Location: Seattle, Washington Type: Full Time Categories: Academic/Faculty Internal Number: 166922 Position
-
, functional genomics, and mouse engineering approaches to understand how cancer cells communicate with their neighbors, or the stromal cells, in the metastatic cascade. Our lab also applies biostatistics
-
forward to collaborating with software engineers and researchers across all areas of astrophysics and fields such as computer science and statistics. Applicants should demonstrate excellence in research
-
Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 30-Aug-25 Location: Seattle, Washington Type: Full Time Categories: Academic/Faculty Internal Number: 168000 Position
-
duties include: Cell culture work – organoid generation and 2D/3D cell culture Microscopy – immunofluorescence and confocal imaging Molecular bench work — basic molecular skills are required (molecular
-
: No additional certification unless stated elsewhere in the job posting. Work Experience: No additional work experience unless stated elsewhere in the job posting. Skills: Bioinformatics, Computer Science, Data
-
, tumor immunology organotypic in-vitro models, genetically engineered animal models and human tissues from clinical trials. All these approaches are brought to bear on impactful questions in tumor