665 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Pennsylvania State University
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contribute to our efforts to create a welcoming and inclusive learning environment for students, foster robust, collaborative scholarship, and engage in service activities supporting institutional goals. To be
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interdisciplinary research; teach undergraduate and/or graduate courses, including residential, online, and/or hybrid courses; supervise and mentor students; actively pursue external funding to support research
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to the University and the profession. More information about faculty appointments in the Libraries can be found in the Guideline UL-ACG07 Promotion and Tenure Criteria (https://libraries.psu.edu/policies/ul-acg07
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REQUIREMENTS The School of Visual Arts in the College of Arts and Architecture invites applications for one or more Part-Time Lecturer positions to teach courses in the Bachelor of Design in Digital Multimedia
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models, artificial intelligence, Bayesian models, data visualization, dynamic causal models, dynamic systems models, item response theory, large language models, machine learning, mixture models
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science tools, such as machine learning methods, causal inference, particularly in economic and social science applications. Prior experience working with Large Language Models is a plus. Experience working
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of, or practical experience with, program evaluation. Preference will also be considered for candidates with experience and/or training in using predictive analytics and machine learning techniques
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strongly connected with the Social Sciences Research Institute (SSRI; http://www.ssri.psu.edu/ ) and the Child Study Center (CSC; https://csc.la.psu.edu ), which function as university-wide translational
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demonstrated experience in obtaining external research funding and would be eligible for membership of the Penn State graduate faculty (https://gradschool.psu.edu/graduate-education-policies/gcac/gcac-100/gcac
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years. More information on the benefits offered with this position can be found at https://hr.psu.edu/current-employee/benefits/post-doc-appts . To be considered for this position, submit a complete