35 machine-learning "https:" "https:" "https:" "https:" "https:" uni jobs at Temple University
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information from callers and dispatching the appropriate resources to the incident, selecting proper situation codes and enters pertinent information into a computer, accessing and maintaining the security
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, PowerPoint, Teams; Ability to learn new and emerging technologies. *Familiarity with student information systems. Preferred Skills: *Proficient in common University-specific computer application programs
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, laying the foundation for a lifetime of learning, and teaching essential skills, including reading critically, thinking carefully, communicating effectively, appreciating diversity, and tolerating
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can obtain a degree TUITION FREE A generous retirement plan and so much more! Salary Grade: T26 Learn more about the “T” salary structure here: https://careers.temple.edu/sites/careers/files/documents
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federal, state, and institutional financial aid regulations and policies consistently and accurately. *Knowledge of federal Title IV and state financial aid programs, or the ability to quickly learn and
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TUITION FREE A generous retirement plan and so much more! Salary Grade: T26 Learn more about the “T” salary structure here: https://careers.temple.edu/sites/careers/files/documents/T_Salary_Structure.pdf A
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NTT Instructor - Electrical & Computer Engineering - (25001455) Description Temple University's Department of Electrical and Computer Engineering is seeking passionate educators to teach, develop
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TUITION FREE A generous retirement plan and so much more! Salary Grade: T26 Learn more about the “T” salary structure here: https://careers.temple.edu/sites/careers/files/documents/T_Salary_Structure.pdf A
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TUITION FREE A generous retirement plan and so much more! Salary Grade: T26 Learn more about the “T” salary structure here: https://careers.temple.edu/sites/careers/files/documents/T_Salary_Structure.pdf A
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financial data or financial modeling concepts. * Experience working in an Institutional Research, Budget, or Finance office. * Experience with machine learning or advanced analytics techniques. Required