123 modal-analysis-machine-learning Postdoctoral positions at University of Washington
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experience unless stated elsewhere in the job posting. Skills: Collaboration, Data Analysis, Data Interpretations, Experimentation, Laboratory Operations, Laboratory Techniques, Researching, Results Reporting
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Analysis, GATK, Genetic Research, Genome Sequencing, Linux, Neurodegeneration, PLINK (Software), Python (Programming Language), Statistical Genomics, Work Collaboratively Questions For frequently asked
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, standing, walking. Working on a computer. Ability to move to on and off-campus locations. Equipment Lab and office equipment. Salary Range: Base pay is commensurate with experience. The above statements are
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liver resection and transplant. We use multidisciplinary approaches including in vitro and in vivo models of I/R injury, biochemical and genetic analysis, transcriptomics, imaging with live cells and
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what is stated in the Required Qualifications section. Work Experience: No additional work experience beyond what is stated in the Required Qualifications section. Skills: Collaboration, Data Analysis
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of metabolic states in retinal ganglion cells; spatial transcriptomic and correlated metabolic analysis of retinal ganglion cells; treatment of retinal ganglion cells in models of degeneration; data collection
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Analysis, Data Interpretations, Experimentation, Laboratory Operations, Laboratory Techniques, Researching, Results Reporting, Scientific Writing Questions For frequently asked questions about the
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focus in machine learning. The postdoctoral scholar will work on topics of mutual interest such as, but not limited to, automatic machine learning model selection and automatically explaining machine
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-postdocs-2/ . Trains under the supervision of a faculty mentor including (but not limited to): Utilize follicle and ovarian culture, biomechanical analysis, transcriptomics, proteomics, histologic approaches
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function. Knowledge and/or experience in high dimensional and conventional flow cytometry. Mouse handling and tissue processing. Generation and analysis of bulk and/or single cell transcriptomic data