654 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" uni jobs 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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knowledge of Microsoft Office Suite (Word, Excel, PowerPoint) and the ability to learn new systems quickly. Exemplary interpersonal and communication skills, complemented by strong customer service abilities
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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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expected to teach undergraduate courses and guide senior design projects in the area(s) of engineering and design, system dynamics, measurements and instrumentation, and fundamental computer programming
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about UBP, please visit our website: http://equity.psu.edu/ub . BACKGROUND CHECKS/CLEARANCES This position requires the following clearances in addition to applicable background checks: PA State Police
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generally take place between 6:00 a.m. and 3:00 p.m. on weekdays with a few exceptions for professional development opportunities and field trips. Experience: Interns will learn horticultural and grounds
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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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candidates who can build a strong methodological research base in areas of Operations Research, including optimization, stochastics, simulation, machine learning and artificial intelligence. Applicants at all
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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