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schedules Experience preparing and posting journal entries Proficient experience using ADP software WorkForce Now. Proficient experience creating pivot table to mine large volume of data Experience working
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teaching-track faculty and 54 tenured and tenure-track faculty with wide-ranging research interests, and strong research groups in cybersecurity, systems and networks, machine learning and data mining
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scientist, the Research Scientist/Engineer 4 (RS/E 4) will apply data mining techniques, perform statistical analysis, develop visualization techniques, and build automated tools that can assist with
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four core areas of computer science: (i) theory and algorithms, (ii) artificial intelligence, machine learning, information retrieval, and data mining, (iii) security, cryptography, and privacy, and (iv
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of personnel management experience. Additional Qualifications ConsideredEmpty heading Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . POSITION SPECIFICS
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· Higher Education/Academic Medical Center audit experience · Data mining experience Working Environmental Conditions Flexible in working additional hours to complete project deadlines
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tools such as machine learning for sentiment analysis, data mining for social trends, or computational linguistics for linguistic analysis will be highly regarded. Additionally, the ability to instruct
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. The specific salary offered will be determined based on factors such as the qualifications of the selected candidate, departmental budget, internal salary equity considerations, and available market information
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instructions to others on how to use it. Classes may be for credit (PEX) or drop-in. Contracts run semester to semester. Please visit https://www.unr.edu/fitness/drop-in-class-schedule to view Drop-In classes