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cutting-edge theories, methods, and computational tools for integrating large-scale, heterogeneous biomedical data across multi-institutional research networks, with a focus on the analytical and
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exploring them. Basic data preprocessing, feature engineering, and model evaluation, or a strong willingness to gain hands-on experience. Eagerness to learn HPC concepts, including parallel computing
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research fellowships at Harvard University for recent PhDs who are pursuing independent research on Old World prehistory. ASPR Junior Fellows are invited to offer one course in the second year of
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(strongly preferred) Interest in applying to a quantitative PhD program and pursuing an academic career (strongly preferred) We prefer research assistants who want to become professional economists, but we’re
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. Some areas of particular interest include: genetics, evolutionary biology, neurobiology, developmental biology, and stem cell biology. Our lab uses both experimental and computational approaches
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opportunity to shape the future of medicine. About the Department: The Program in Medical Education (PME) at Harvard Medical School (HMS) serves as the organizational home for all education programs leading
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Postdoctoral Research Fellow position in statistics, genetics, and biomedical AI. The lab develops cutting-edge theories, methods, and computational tools for integrating large-scale, heterogeneous biomedical
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to the Kavli-Laukien Postdoctoral Fellowship at the Origins of Life Initiative at Harvard University. The Kavli-Laukien Fellowship program supports young developing independent scholars to pursue innovative
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Qualifications Ph.D. or M.D./Ph.D. in areas such as bioengineering, biochemistry, cell or computational biology or related fields Additional Qualifications CV Research summary of PhD work Cover letter describing
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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