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· Familiarity with applying machine learning techniques and concepts within practical implementations in healthcare domains preferred · Experience with ML frameworks and libraries such as TensorFlow
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. Machine learning, computer vision, computer graphics, and statistical analysis. This position is eligible for LBNL’s Employee Referral Program benefit(s). Want to learn more about working at Berkeley Lab
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an accredited school of vocational nursing, or completion of education and experience as a corpsman in the United States military Minimum of two (2) years of Licensed Vocational Nurse experience. Ability to pass
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higher education environment Two years of experience working with Academic personnel, including administrative functions such as payroll and reviews Advanced experience with computer software such as word
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the telephone and to convey a professional and business like image. Skill to use amp/volt meters, refrigerant recovery machines, and vacuum pump. Skill to review and understand technical data, specifications
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computer workstation and IT services support onsite at Aggie Square. Provide support for computer hardware and peripherals, Windows and macOS operating systems, application software, AV equipment and IT
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REQUIRED 1. Knowledge of basic cell biology, molecular biology, and biochemical principles. 2. Ability to use laboratory equipment, including centrifuges, pH meter, PCR machines etc. 3. Ability
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thermodynamics Design and implement machine learning models for data collection, reduction, analysis, and visualization. Work creatively, independently, and productively. Work as a member of a multidisciplinary
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dissemination for the U.S. Department of Energy’s (DOE ) Joint Genome Institute. You will be responsible for managing engagements with external partners, including JGI’s computer infrastructure providers and
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structure. Solid organizational skills and ability to multi-task with demanding time frames. Computer skills using Windows, Word, Excel, email, internet and other systems. Preferred Qualifications Working