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will lead and participate in observations and data analysis across the electromagnetic spectrum, or will lead work on machine learning classification of optical transients. Applicants with previous
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astrophysics. The successful candidate will have access to our new computing facilities and will have the opportunity to interact and work with researchers in both the Harvard College Observatory (HCO) and the
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the intersection between quantum information and particle physics. The successful applicant will work in Professor Carlos Argüelles’ group on the development of new algorithms to encode and process particle physics
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aim to advance the capability and applications of this technique to demystify activity at complex electrodes across multiple length scales (nano- to macro), enable new types of measurements, achieve
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. transient laser spectroscopy), organic synthesis, and electrochemistry. Responsibilities: ● Performs research and/or development in collaboration with others ● Optimize and investigate new methods and
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position at the interface of scientific Computing and Artificial Intelligence for applications pertaining to fluid mechanics of turbulent and environmental flows starting September 1, 2025, or as soon
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circuits, and biologically grounded intelligence. We seek candidates with strong technical preparation in modern AI/ML, a demonstrated record of scholarly achievement, and an interest in contributing
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correlated materials. These new topological phases will present key future directions over the next decade and expected to exhibit a wide range of fundamentally new physics such as Floquet topological phases
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-time Postdoctoral Research Fellow to join the causal inference team supervised by Professor Francesca Dominici. The position will focus on developing and applying novel causal inference methods for large
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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