114 computer-science-programming-languages-"U" Postdoctoral positions at University of Washington
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Position Summary Postdoctoral Research Associate position open in the Williams Lab in the Department of Ophthalmology and Visual Sciences. The Williams Lab is seeking a postdoctoral researcher with
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of transcripts and/ or proof of academic good standing (transcript of highest degree conferred; proof of academic good standing on official letterhead and signed by graduate program director, advisor
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Position Overview School / Campus / College: College of the Environment Organization: Environmental and Forest Sciences Title: Postdoctoral Scholar: Forest Disturbance and Landscape Ecology Position
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the Required Qualifications section. Work Experience: No additional work experience beyond what is stated in the Required Qualifications section. Skills: Collaboration, Computational Biology, Data Analysis, Data
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based on new discoveries from next generation sequencing. The successful candidate will participate and lead research projects using computational biology approaches to address questions that are both
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for this position will possess: A strong background in scientific programing Interest in developing open-source data analysis and modeling tools in one of the following languages: Python, Julia, or C . A strong
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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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Position Overview School / Campus / College: College of Arts and Sciences Organization: Speech & Hearing Sciences Title: Postdoctoral Scholar - Behavioral and Neural Development of Social
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to lead impactful research at the interface of aging biology, neurodegeneration, and spatial omics. The successful candidate will contribute to high-profile projects investigating the cellular and molecular
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, particularly in the areas of the actin cytoskeleton and membrane trafficking. • Utilize quantitative, biophysical, and computational approaches to cell biology, including fluorescence imaging, image analysis