121 software-verification-computer-science-"TCAT-Jacksboro" Postdoctoral positions at University of Washington
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protein techniques. Experience with mouse handling and colony management. Experience with molecular biology techniques. Preferred Qualifications Education: No additional education beyond what is stated in
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Position Overview School / Campus / College: School of Medicine Organization: Radiology Title: Postdoctoral Scholar, Department of Radiology, Diagnostic Imaging Sciences Center (DISC) Position
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associated clinical outcomes. The fellow will be responsible for identifying computational approaches for data selection, processing, and predictions/inference. The expected outcome of the project is to
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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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in high impact academic journals and at premier scientific conferences. The Glasser/Van Essen lab’s senior staff are highly experienced, having developed much of the HCP’s software themselves, and are
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Center for Reproductive Health Sciences (CRepHS). Our lab is focused on overcoming chemotherapy resistance in gynecologic cancers by targeting DNA damage repair mechanisms. We specifically are interested
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, Computer Science, Data Analysis, Etiology, Exome Sequencing, GATK, Genetic Research, Linux, Neurodegeneration, PLINK (Software), Python (Programming Language), Statistical Genomics, Work Collaboratively Questions
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). Proficiency in data acquisition and analysis software (e.g., pClamp, Spike2, AxoGraph, MATLAB, or Python). Preferred Qualifications Education: No additional education unless stated elsewhere in the job posting
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Qualifications section. Skills: 3D Imaging, Collaboration, Communication, Computer Coding, Data Analysis, Data Interpretations, Data Science, Electroencephalogram (EEG), Experimentation, Genome-Wide Association
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and Informatics Center at WashU. We are dedicated to generating and analyzing whole-genome sequencing data along with high-throughput, multi-dimensional 'omics' data to advance our understanding