27 machine-learning "https:" "https:" "https:" "https:" research jobs at University of Washington
Sort by
Refine Your Search
-
. The postdoctoral researcher will take a lead role in designing and conducting experiments to assess how people with spinal cord injury learn to control their legs in a novel body-machine interface using wearable
-
to detail · Ability to work as a member of a cooperative team · Flexible schedule, available to work nights and weekends · Comfortable learning new technology and working with multiple electronic systems (MS
-
Position Overview School / Campus / College: College of Engineering Organization: Electrical and Computer Engineering Title: Research Assistant Professor (Non-Tenure) - Li Lab Position Details
-
implement new computational and statistical methods. Create, test, and use relevant computer code (R, Python, SQL or equivalent). Maintain, modify, and execute analytic machinery that results. Draft
-
analysis; Biomarker identification through the use of machine learning approaches; and Multi-omics data integration with genomics, transcriptomics and methylomics data. Job Description Primary Duties
-
in methodological innovation and demonstrable initiative to conduct independent analyses. Knowledge of machine learning, data mining, and analytic techniques. Experience working with external
-
independent analyses. Knowledge of machine learning, data mining, and analytic techniques. Experience working with external collaborators, researchers, and funders. Experience conducting literature reviews
-
. Experience with high-throughput molecular biology assays. Experience with complex functional experiments. Background in machine learning, AI, or data integration for genomic datasets. Familiarity with gene
-
member of a cooperative team · Flexible schedule, available to work nights and weekends · Comfortable learning new technology and working with multiple electronic systems (MS Office, Teams, and Computer
-
data management sufficient to create, transform and integrate data in a variety of resolutions and formats. Analysis will include running machine learning algorithms (e.g., Random Forest, CART) and