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and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees
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: January 9, 2026 For more information, see http://warrencenter.fas.harvard.edu/. Basic Qualifications Applicants may not be degree candidates and should have a Ph.D. or equivalent. Fellows have library
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Initiative, among other areas of research. The post-doc's time will be spent primarily on analyzing longitudinal data and leading or co-leading academic papers. In addition, the post-doc will also help shape
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projects. Additional Qualifications: Interest in applying programming language theory to chemistry, biology, and precision medicine. Contact Information: Prof. Nada Amin Harvard John A. Paulson School of
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effect prediction. The fellow will work under the mentorship of Dr. Alex Luedtke and collaborate with an interdisciplinary team of statisticians, physicians, computer scientists, and health policy
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(including in Mississippi, Kansas, South Carolina and Massachusetts). Their work includes both primary and secondary data analysis and bridges the fields of sociology, epidemiology, economics and public health
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This position is salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu
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neurodegeneration and cognitive function. Analyze high-dimensional data to identify molecular pathways and targets relevant to Alzheimer's disease and age-related decline. Collaborate with lab members and external
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at the intersection of academia and practice. For more information on D^3, please visit https://d3.harvard.edu/labs . D^3 is looking for candidates with diverse backgrounds and/or new perspectives. There are no
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