118 post-doc-image-engineering-computer-vision Postdoctoral positions at University of Washington
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Position Summary Functional Genomics of circular RNAs in Alzheimer's Disease. The Cruchaga Lab, member of the NeuroGenomics and Informatics Center, is recruiting a motivated, creative, self-driven
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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
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-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
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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
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, 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
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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
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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
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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
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: 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
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, 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