41 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at University of California Riverside
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collaborative problem-solvers specializing in data science, statistical, and/or machine learning methods and tools, and have worked with various forms of data, including text. They should also enjoy conducting
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at the time of application include: Applicants must possess a Ph.D. degree by date of employment. To apply, please submit the following materials to https://aprecruit.ucr.edu/apply/JPF02175: * Curriculum Vitae
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The Student Disability Resources Center (SDRC) provides services for students with various permanent or temporary disabilities. These disabilities may include learning disabilities; attention deficit disorder
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georeferenced data on pest outbreaks. The Scholar will use these data in collaboration with computer scientists to develop machine learning algorithms for the detection and management of biotic stress. The crops
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and infrastructure. To apply, please visit: https://irecruitportal.ucr.edu/irecruit/!Controller?action=jobs_webui.show_page&page=jobs_detail&requisition_id=31877209&profile_id=&module=jobs Copyright
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Familiarity with UC/UCR policies and procedures. Knowledge of UCR accounting processes and financial systems To apply, please visit: https://irecruitportal.ucr.edu/irecruit/!Controller?action
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Overview To apply, please visit: https://irecruitportal.ucr.edu/irecruit/!Controller?action=jobs_webui.show_page&page=jobs_detail&requisition_id=31997697&profile_id=&module=jobs Copyright 2022
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to https://aprecruit.ucr.edu/apply/JPF02172: * Curriculum Vitae (required) * Cover Letter (optional) * Contact information for three references (required) Review of applications will begin on February 5
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to published or in-press research in the field, professional recognition in the field, and a demonstrated record of University and/or public service. To apply, please submit the following materials to https
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aspects of student support and service delivery Additional Information Knowledge of common University-specific computer application programs and knowledge of University and departmental principles and