877 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" positions at The California State University
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information can be found on the department website: https://www.csuchico.edu/csci/ Job-related questions should be directed to: Todd Gibson, Search Committee Chair Department of Computer Science, California
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. For more detailed information on the application and hiring process, please view the link below: http://www-admn.csun.edu/ohrs/employment/ Equal Employment Opportunity: The University Corporation is an Equal
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to an interesting and strong curriculum in statistics at the undergraduate level, one which emphasizes application as well as underlying theory. Information regarding the Statistics Department can be found at https
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and event data. Support front desk operations as needed Attend mandatory meetings or trainings as required. Evening and weekend hours may be required for major student events. Other duties as assigned
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please visit https://www.calstate.edu/csu-system/careers/benefits/Documents/employee-benefits-summary.pdf Additional Information: California State University, Chico, in accordance with CSU policy, may
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offers a number of benefits to its employees (e.g., sick leave, vacation, health insurance). For more information and eligibility criteria, please visit https://www.csuchico.edu/hr/benefits/index.shtml
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, diversity, accessibility, and equal opportunity for all. Cal Poly provides a range of benefits for our faculty which can be found at https://afd.calpoly.edu/hr/benefits/. Cal Poly is family friendly
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qualifications 2. Curriculum vitae 3. A sample of scholarly research 4. Unofficial copies of graduate transcripts 5. Contact information for three professional references Official transcripts will be required
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astronomy, geology, geophysics, and oceanography. For more information about the Physics Department, please see https://physics.calpoly.edu/ . Equal Opportunity and Excellence in Education and Employment
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but is not limited to machine learning for predictive modeling, genomic and environmental data to identify risk, surveillance of disease spread from climate, travel, and social media data