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Engineering, Bioinformatics, Statistics, Applied Mathematics, Physics, or a closely related STEM field. Demonstrated experience developing AI and machine learning models for biomedical applications. Job
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see aerosol chemistry as a unique and rapidly emerging frontier for computational and machine learning approaches. Historically, modeling efforts in this field were limited due to accuracy and system
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with strong foundations in modern machine learning and the ambition to advance foundation models, agentic systems, and new AI approaches for high-impact scientific applications. We seek candidates with
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deep expertise in modern machine learning and a strong record of research accomplishment who are excited to advance foundation models, agentic systems, and new AI approaches for high-impact scientific
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Departments of Biostatistics at the Harvard T.H. Chan School of Public Health and Data Science at the Dana-Farber Cancer Institute provide exceptional environments to pursue research and education in
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Details Title Postdoctoral Fellow in Computer Science — From Theory to Practice: Reinforcement Learning for Large Scale Foundation Model Post‑Training School Harvard John A. Paulson School of
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Details Title Fellow in AI/ML for NeuroAI and Computational Neurobiology School Faculty of Arts and Sciences Department/Area Kempner Institute for the Study of Natural and Artificial Intelligence
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learning for materials discovery. The successful candidate will contribute to materials synthesis, technique development, electrochemical characterization, and data analysis; lead research projects
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Max Planck ETH Center for Learning Systems | New Germany, KwaZulu-Natal | South Africa | 21 days ago
Phd/doctoral Tuebingen, Germany Apply by Nov 02, 2026 Max Planck ETH Center for Learning Systems Max Planck Institute for Intelligent Systems 72076 Tuebingen Germany Keyboard shortcuts Map data ©2026
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and collaboration, this position is based on campus, full-time, at Harvard University. Remote work for this position is not possible. Basic Qualifications PhD in computer science, statistics, electrical