85 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at University of California
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, serving the greater good. The University of California, one of the largest and most acclaimed institutions of higher learning in the world, is dedicated to excellence in teaching, research and public
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, disability, gender, and ethnic backgrounds. Knowledge of and/or can quickly learn common computer application programs. Understanding of and/or can quickly learn common University/Colleges rules and
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Responsible for functions of the PES Administrative Assistant including online computer document processing, scanning/faxing multiple documents to upload to the Care Connect system (HER), chart
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machine learning, real-time monitoring, and thermochemical insight to build smarter, self-improving materials processing systems. Your work will help strengthen a sustainable domestic lithium supply while
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Vitek 2 and MS systems, centrifuges, water baths, analytical balance, fume hood, biological safety cabinet, and incubator. •Proficient computer skills. •Must pass the Ishihara Color Vision exam, i.e
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, and Strategic Plan . At UC Berkeley, we believe that learning is a fundamental part of working, and provide space for supportive colleague communities via numerous employee resource groups (staff
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into relevant formats · Ability to create and maintain accurate inventories of various items. · Reading and computer skills sufficient to understand specific protocols and relevant journal articles
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info into computer •Generate computer labels for specimens and deliver to appropriate areas •Prepare samples for transport to referral labs or storage •Prepare written reports to document phlebotomy
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experience, required; one year CNA experience, preferred · Clerical experience in an acute hospital environment, preferred · Ability to complete an 8-hour computer data entry training course
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for advancing AI/ML methodology Assist with code optimization and integration into Department of Energy (DOE’s) applications running on the exascale computer systems with GPU accelerators We are looking for: PhD