2,931 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at University of Washington in United States
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Solving, Communication, Computer Literacy, Data Analysis, Data Interpretations, Microbiology, Molecular Biology Grade R10 Salary Range $48,000.00 - $86,900.00 / Annually The salary range reflects base
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/registration. Desired Qualifications: Molecular biology background. Experience with PCR, sequencing, computer programming ability to analyze sequencing data. Good laboratory practice (GLP) skills. Experience
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external collaborations. Additionally, the Post-Award Shared Services Lead will develop and deliver training programs, mentor staff, and foster a culture of continuous learning, operational excellence, and
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employees: https://facilities.med.wustl.edu/Careers. Leads Protective Services’ Crime Analysis and Special Services Unit, providing strategic oversight for campus investigations, threat assessments, and crime
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employees: https://facilities.med.wustl.edu/Careers. Serves as the senior working operational lead of the Investigations Unit in Protective Services. Provides daily workflow leadership, investigative quality
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, epigenetics, and metabolism. Job Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . Trains
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the UW Facilities web page for more information: https://facilities.uw.edu/ . Maintenance & Construction (M&C) is responsible for general maintenance, repair, and renovations of all University
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-season forecasts to use AI approaches such as machine learning or neural networks; implement and test online against existing forecasts. Work with internal relational databases using SQL. Data Processing
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Job Description For over 160 years, the University of Washington has been a hub for learning, innovation, problem solving and community building. Supporting this legacy and important public mission
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a novel multi-omics approach that integrates high-throughput imaging and machine learning methods with CRISPR/Cas9 screens and saturation mutagenesis to answer central questions about the