12 processor-"https:" "https:" "https:" "https:" positions at Pennsylvania State University
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SPECIFICS The College of Information Sciences and Technology (IST), https://ist.psu.edu/ , at Penn State invites applications for the position of its inaugural Quantum Frontiers Postdoctoral Scholar
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, gallery/exhibition spaces, a lighting and design lab, computer labs, special subject libraries, specialized studios, and a stage lighting archive. For more information about the College of Arts
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based in the College of IST and will have opportunities to collaborate broadly across Penn State, including with the Penn State Quantum Hub (https://quantum.psu.edu/ ), Penn State AI Hub(https
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Development and Biomedical Applications; Hybrid Manufacturing; Sand-Printing for Metal Casting. You can read more information on the SHAPE Lab at https://sites.psu.edu/shapelab/ . The Research Engineer supports
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will possess a PhD in Artificial Intelligence, Computer Science, Computer Engineering, Data Science, Mathematics, Statistics, or a closely related discipline before their appointment start date at Penn
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experience. The ability to communicate effectively with staff and students is necessary. Basic computer and record keeping skills required. Preferred Qualifications: A bachelor’s degree in animal or equine
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campus. It includes performance spaces, gallery/exhibition spaces, a lighting and design lab, computer labs, special subject libraries, specialized studios, and a stage lighting archive. For more
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science, data science, computer science, robotics, natural language processing, computer vision, optimization, or a related field A keen interest in, or background studying, the role of leadership in
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Technology, Human-Computer Interaction, or a closely related field Demonstrated experience conducting empirical research in educational or community settings Strong writing, collaboration, and project
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- Requirements include a Ph.D. in Electrical and Computer Engineering, Computer Science or other relevant fields by the start date. Prior background in machine learning, digital twins and electronic design