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AI and ML theory, foundation models and generative AI, reinforcement learning and autonomous agents, hardware and systems for AI, edge and federated learning, AI security and privacy, quantum machine
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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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commitment to professional development, learning, and being mentored. DDAR is supportive of flexible work arrangements when aligned with the ability to meet the needs of the unit and the essential duties
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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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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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, 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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an inclusive and respectful environment for all students and colleagues; A proven ability to self-motivate and work both independently and as part of a team; A commitment to professional development, learning
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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
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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