60 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" research jobs at Pennsylvania State University in United States
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background in one or more of the following areas: dynamics analysis of power systems, machine learning, cybersecurity, renewable energy, microgrids, hands-on experiences on hardware-in-the-loop projects
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, and organize all data from depositions, characterizations, and property measurements. (6) Organize all data and learning into scientific manuscripts, quarterly reports, and presentations. (7) Coordinate
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interdisciplinary team. The final candidate must have a Ph.D. in Materials Science and Engineering, Electrical and Computer Engineering, Physics, Chemistry, or other comparable majors. They should have experience in
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clinicians Qualifications and Requirements: A PhD in Mechanical, Electrical, Biomedical Engineering, or related fields by the start date Prior experience in neural signal processing, machine learning, control
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REQUIREMENTS The Department of Statistics seeks to hire approximately three (3) undergraduate research assistants primarily during Summer 2026 as part of a research project related to teaching, learning, and
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method widely used in social sciences, education, and business research. This project aims to advance AI applications in qualitative research while providing hands-on experience in machine learning
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), and in vivo fiber photometry (TDT). We are particularly looking for a PhD-level systems neuroscientist with expertise in animal behavior tracking using deep learning algorithms and their causal link
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diverse group of summer assistants who are curious and motivated with desire to learn new details about the world around us! Hourly rate starts at $15. BACKGROUND CHECKS/CLEARANCES Employment with
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harmonize datasets across institutional and external sources (e.g., advising, curriculum, learning platforms, labor-market data), including secure handling and anonymization when needed. AI/agentic system
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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