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Scientific Machine Learning. The successful candidate will develop and deploy state-of-the-art SciML algorithms in high-performance computational physics codes. We accept applications from all candidates with
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SPECIFICS The Department of Learning and Performance Systems in the College of Education at Penn State University invites applications for multiple Teaching-Focused Postdoctoral Scholar positions
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of Measurement, Statistics, and/or Learning. Penn State offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits
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written skills, a passion for learning, and the ability to solve problems independently in a diverse scientific landscape. As a key member of our team, you will have the opportunity to contribute to cutting
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, fast scanning calorimetry (FSC), small- and wide-angle X-ray scattering (SAXS/WAXS), and synchrotron X-ray techniques is highly desirable. Knowledge of programming and machine learning is also strongly
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. Experience in machine learning methods is also required. Additionally, it is critical that the individual has experience in working with epilepsy patients, data collection via the NeuraLynx iEEG system, data
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learning preferred. Strong experimental and computational skills, with ability to work independently and contribute to collaborative research and publications. BACKGROUND CHECKS/CLEARANCES Employment with
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Fall 2024, CEE moved to the new, LEED certified, Engineering Collaborative Research and Education (ECoRE) building, featuring 9 active-learning classrooms and 51,000 square feet in support of research
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methods, stochastic control processes, dynamic programming, deep reinforcement learning. Strong track record in scientific contributions supported by peer-reviewed publications. Strong programming skills
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PCR, cell culture, and some knowledge of materials science Animal (mouse, rat) handling/surgical skills or desire to learn Excellent organizational skills, strong attention to detail, and good