67 high-performance-computing-postdoc positions at University of California Riverside
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, have a driving record that is in accordance with local policies/procedures, and/or enroll in the California Employer Pull Notice Program. Applicants must have current work authorization when accepting a
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issues or concerns to the Financial Operations Manager. Able to meet deadlines and maintain a high level of accuracy in all work. Serves as a knowledgeable resource and a central point of contact
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Experience Requirements Minimum of 3 years of experience Required License Requirements Driver License Required Minimum Requirements Basic computer applications skills. Critical thinking skills and the ability
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internship program; and serves on University committees, representing the CAPS department. The Licensed Psychologist may also serve as a liaison and provides outreach to various campus communities. A
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sensitive information learned in the course of performing their duties. Sensitive information includes but is not limited to employee and student records, health and patient records, financial data, strategic
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. Ability to adapt to changing priorities. Demonstrated interpersonal skills at all levels within the unit; service orientation; critical thinking; attention to detail; ability to multi-task in a high volume
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; communication skills; and a customer service focus. Demonstrated knowledge of generally accepted accounting, fiscal and reporting principles. Ability to perform moderately complex financial analysis and
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the skills and knowledge to perform more advanced work following an agreed-upon time in position, through dened training and development planning. Under the supervision of the Assistant Dean and Director, and
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. Required Travel Outside of Normal Business Hours Required Must actively participate in an on-call rotation supporting a 24/7 IT operation Required Preferred Qualifications Demonstrated ability to interface
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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