114 fully-funded-phd-program-computer-science Postdoctoral positions at University of Washington in United States
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DNA in easily accessible urine samples. Our recent work is getting significant attention from clinical researchers and technology developers, and we aim to advance our collaborations and develop
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Position Overview School / Campus / College: College of the Environment Organization: Aquatic and Fishery Sciences Title: Postdoctoral Scholar: Genetic Mark Recapture in Atlantic Bluefin Tuna
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dentistry including faculty members with specialty training in periodontics, orthodontics, and oral medicine. OHS also sponsors the School of Dentistry’s only PhD program as well as the combined DDS-PhD
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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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Position Overview School / Campus / College: College of Arts and Sciences Organization: Biology Title: Postdoctoral Position in Quantitative Cell Biology in the MATSU lab Position Details Position
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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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dentistry including faculty members with specialty training in periodontics, orthodontics, and oral medicine. OHS also sponsors the School of Dentistry’s only PhD program as well as the combined DDS-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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. Eisenberg about also applying for the Biological Mechanisms of Healthy Aging Training Program (https://live-uwhalo.pantheonsite.io/uwhalo/bmha/post-doctoral-openings/ ). The position is 100% FTE for 12 months
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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