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modern machine learning and a strong record of research accomplishment who are excited to build brain foundation models and other AI systems that advance our understanding of neural activity, brain
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data in near-term era quantum computers. Applicants with backgrounds in quantum information or particle physics are both encouraged to apply. Candidates with strong expertise in machine learning, quantum
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diverse, inclusive community dedicated to alleviating suffering and improving health and well-being for all through excellence in teaching and learning, discovery and scholarship, and service and leadership
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, researchers, and students on foundational machine learning and biologically informed scientific applications. The position is particularly well-suited to candidates eager to apply their technical expertise in
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on type, size, location of data centers in the US, their electricity and water demand, carbon emissions; exposure to air pollution. ● Develop and/or apply methods for causal inference and machine learning
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Science Statistics / Biostatistics Applied Mathematics Data Science Demonstrated expertise in modern machine learning, including at least one of the following: Deep learning (e.g., transformers, sequence models
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 17-Jul-26 Location: Cambridge, Massachusetts Categories: Academic/Faculty Engineering Internal Number: 15017 School
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, digital health, and policy issues under the mentorship of Prof. Haiden Huskamp, and the provision of primary care services, with a focus on the patient-level impacts of primary care physician work effort
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, digital health, and policy issues under the mentorship of Prof. Haiden Huskamp, and the provision of primary care services, with a focus on the patient-level impacts of primary care physician work effort
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(https://www.hsph.harvard.edu/lin-lab/ ), Professor of Biostatistics and Professor of Statistics. The postdoctoral fellow will develop and apply statistical, machine learning (ML), and AI methods