15 learning "https:" "https:" "https:" "https:" research jobs at Pennsylvania State University
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computing and artificial intelligence. Areas of interest include, but are not limited to, the following: Quantum Machine Learning and AI: Develop novel quantum algorithms and computational frameworks
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with multiple aspects off this work. The opening is for the Fall 2026 Semester with future semester as a possibility. Read more about our lab’s work here: https://mollybletz.wixsite.com/mollybletz, and
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integrated into a collaborative network of faculty mentors based on research alignment. To learn more about faculty research, candidates are encouraged to visit: https://ed.psu.edu/academics/departments
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. ICDS seeks outstanding early‑career researchers with expertise in Artificial Intelligence and Machine Learning in the following computational and data‑driven discovery areas: Earth Science Computational
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SPECIFICS Postdoctoral Scholar of Machine Learning and Statistical Genomics Description: The Department of Public Health Sciences is seeking a postdoctoral scholar. The overall goal is to: (1) develop and
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, to advance the technical readiness level of liquid metals for next-generation fusion reactors. Learn more about the research groups here: Prof. Xing Wang’s research group: https://sites.psu.edu/rdmap
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to REQ_0000057682 at https://hr.psu.edu/careers . The cover letter should be 1–2 pages describing: research interests and background why you are interested in this position career goals availability for starting
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, genuine curiosity about leadership and organizations, and a collaborative spirit. Specifically, the ideal candidate has: A strong background in artificial intelligence, machine learning, computational
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to collaborate with other researchers, and mentor graduate and undergraduate students, and may also teach one course per year for the Department of Statistics. A Ph.D. in Statistics, Biostatistics, Machine
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SPECIFICS The Department of Electrical Engineering at Penn State is seeking a Postdoctoral Scholar. The successful candidate will work on using machine learning tools for electronic design automation