720 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at University of California in United States
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your bargaining unit's employment contract, stay abreast of current negotiations and learn about collective bargaining at UC: https://ucnet.universityofcalifornia.edu/labor/bargaining-units/index.html
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finalized in a contract. Read your bargaining unit's employment contract, stay abreast of current negotiations and learn about collective bargaining at UC: https://ucnet.universityofcalifornia.edu/labor
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priorities and deadlines and to delegate tasks in a management style that is consistent with promoting leadership and teamwork Knowledge base or willingness to learn new information in order to provide
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The Department of Electrical Engineering and Computer Sciences (EECS), in both the College of Engineering and the College of Computing, Data Science, and Society (CDSS) is the largest academic
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learn University-specific computer application programs and knowledge of the University. Advanced knowledge and understanding of student development theory. Thorough knowledge of (or can quickly learn
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(Snakemake, Nextflow, Cromwell). Familiarity with NGS platforms (Illumina, PacBio, Oxford Nanopore). Experience applying machine learning, pattern recognition, or modeling techniques to scientific problems
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. Demonstrated proficiency with commonly used computer software and educational technologies, and the ability to learn new software systems and computer programs. Progressive experience managing complex, multi
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environment or healthcare setting. Good analytical, organizational, interpersonal, verbal, and written communication skills. Ability to follow directions and written procedures. Knowledge of computer operation
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part-time employees. UC Scout works closely with UCSC Extension support staff, including IT, finance, and the office of the Dean to support UC Scout’s goals. Learn more about our courses and services
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integrated implementation. 20% Leads analyses of state-of-the-art solutions for geophysical data processing, including machine-learning-based approaches. Identifies, evaluates, recommends and leads