59 phd-computer-science-fully-funded Postdoctoral research jobs at University of Washington
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are looking for a postdoctoral researcher with physics or engineering expertise who will design and operate a 3D super-resolution ultrasound system, write control software, build computational imaging pipelines
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in the Required Qualifications section. Skills: AI Concepts, Biology, Technology Development Questions For frequently asked questions about the application process, please refer to our External
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Description A postdoctoral fellowship position is available in the Elbert Laboratory in the Department of Neurology at University of Washington in Seattle, Washington, USA. The project is funded for two years
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is supporting responsible stewardship of Indigenous research data in libraries and repositories. The DSISS team of information science researchers, Indigenous scholars, and data repository
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. Computational and bioinformatic skills. Experience in microscopy. Generation and analysis of mouse models. Handling of human samples. Molecular biology skills including CRISPR, cloning and qPCR. In vitro cell
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. Participate in grant-funded research and help identify new funding opportunities aligned with lab objectives. Contribute to the development of new collaborations and technology integration for the Spatial
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, Bioinformatics, Molecular Biology, Developmental Biology, Computational Biology, etc.). Exceptional skills in molecular biology, genomics, human cell culture, and bioinformatics. Preferred Qualifications Education
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Driver's License: A driver's license is not required for this position. More About This Job Required Qualifications: A PhD in Genetics, Bioinformatics, Computer Science, Data Science, Statistical Genomics
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Applicable Driver's License: A driver's license is not required for this position. More About This Job Required Qualifications: The applicant should have a PhD in biological/biomedical sciences, or an MD with
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qualification in Genetics, Bioinformatics, Computer science, Data science, Statistical Genomics or a related discipline involving the interrogation of ‘omics’ datasets. Hands-on experience with large-scale human