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collaboration with internal and external partners, predictive models including machine learning (ML), materials thermodynamics, etc. for high-throughput identification and screening of advanced materials for gas
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machine learning (AI/ML). Our lab is tackling the fundamental questions in the field of aging using a multi-disciplinary approach. We generate and integrate cutting-edge single-cell RNA sequencing (scRNA
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applications for machine learning. Technology Assessment: Evaluate emerging technologies, instrumentation devices and other tools related to power electronics for electric vehicles applications. Collaboration
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Experience with cochlear implants Ability to travel to Santa Monica or Westwood, as needed Excellent communication and interpersonal abilities Excellent documentation abilities Able to efficiently learn new
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Computer Skills Preferred Computer Skills MS Office Suite Proficiency with fundraising databases and technology Supervisory Responsibilities No Required operation of university owned vehicles No Does
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to their communities and you may be eligible for an exception to this work arrangement. Alternative work arrangements may also be considered to accommodate candidates as required. To learn more about these options
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University of California, Los Angeles | Los Angeles, California | United States | about 22 hours ago
seeking applicants for a full-time postdoctoral scholar position in Computational Immunology and Genomics. The successful candidate will develop and apply computational, statistical, and machine-learning
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analyses. Experience with using Jupyter notebook Experience with regular expression natural language processing via Python Experience with machine learning models (e.g. regularization regression, random
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, including computers, printers, copy machines, facsimile receiver/transmitter, scanners and mailing equipment. Ability to communicate thoughts and information clearly and succinctly in writing as
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, materials, and basic operational requests Support logistics for faculty events and experiential learning activities Receive, track, and respond to faculty requests Coordinate with campus departments