125 modal-analysis-machine-learning Postdoctoral positions at University of Washington
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additional work experience beyond what is stated in the Required Qualifications section. Skills: Collaboration, Data Analysis, Data Interpretations, Experimentation, Laboratory Operations, Laboratory
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control subjects, and pregnant patients, and analysis of continuous time series data including signal processing, feature extraction, and statistical analysis. In addition to high-quality research
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the Required Qualifications section. Skills: Collaboration, Data Analysis, Data Interpretations, Experimentation, Laboratory Operations, Laboratory Techniques, Researching, Results Reporting, Scientific Writing
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Privacy Notice for Demographic Data of Job Applicants and University Personnel to learn how your demographic data are protected, when the data may be used, and your rights. Disability Services To request
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the Required Qualifications section. Skills: Collaboration, Data Analysis, Data Interpretations, Experimentation, Laboratory Operations, Laboratory Techniques, Researching, Results Reporting, Scientific Writing
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, such as spatial transcriptomics, proteomics, and multiplexed imaging, to analyze brain tissue. Lead data analysis and interpretation, integrating multi-omic and imaging datasets to identify cellular and
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cytoskeleton and membrane trafficking. Utilize quantitative approaches to cell biology, including human stem cell culture, transfection fluorescence microscopy and image analysis Lab Environment: The Akamatsu
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and quantitative proteomics, phosphoproteomics, TMT, Cross-linking MS, targeted proteomics (PRM/SRM), and DIA analysis. Prior experience in one or more of these techniques is strongly preferred
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Qualifications section. Work Experience: No additional work experience beyond what is stated in the Required Qualifications section. Skills: Collaboration, Data Analysis, Data Interpretations, Experimentation
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). Privacy Notice Review the University of Washington Privacy Notice for Demographic Data of Job Applicants and University Personnel to learn how your demographic data are protected, when the data may be used