32 phd-in-geotechnical-engineering Postdoctoral positions at University of Washington
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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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is 7/1/24. Qualifications Completed PhD or a foreign equivalent. The current project seeks to revolutionize the entire process from data to prediction with a paramount focus on reproducibility and
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for postdoctoral researchers is provided through the Office of Postdoctoral Affairs, Career Center, Teaching Center, and campus groups. Applicants should be recent PhD graduates in Neuroscience or related fields
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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 successful applicant will hold, or shortly expects to obtain, a PhD
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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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. 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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(Programming Language), R Programming Driver's License: A driver's license is not required for this position. More About This Job Required Qualifications: PhD in Genomics or a related discipline. Familiarity
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organoid culture, genetically engineered murine models, and human samples. The lab has successfully competed for various funding. The appointment is viewed as a training or transitional period preparatory to
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researchers in Chemistry, Materials Science, Data Science, and Chemical Engineering. We prioritize career and professional development for postdoctoral researchers. In addition to one-on-one mentorship
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, single-cell multiomics, tissue engineering, and animal models. Our current research primarily focuses on four key areas: 1) Developing robust, chemically defined differentiation protocols to generate