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lab is focused on revealing the molecular and environmental rules governing cell fate decisions in development and cell differentiation. We develop technologies to generate statistical data sets
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Fellow to develop and evaluate artificial intelligence methods for physical medical procedures. The fellow will design and implement machine learning models to analyze procedural data, support clinical
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understanding of cancer; contribute to the development of image-based diagnostics and precision oncology strategies; publish findings in high-impact journals; and present at national/international meetings. Basic
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in the Klein lab at Harvard Medical School in Boston Massachusetts. The work of the Klein lab is focused on revealing the molecular and environmental rules governing cell fate decisions in development
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strongly encouraged to develop an independent research program. The postdoc is expected to lead and contribute to publications and will have opportunities to take on leadership roles within collaborative
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. This is a one-year position with the possibility of extension. The start date is flexible. For more details on our research and recent publications, see the Geometric Machine Learning Group's website: https
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subfield of Biological Anthropology or an adjacent field, with interests in areas like evolutionary life history theory, growth and development, endocrinology, nutrition, reproductive ecology or aging
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of HKS. With the Director, the ED will develop the overall strategy, building on a recently completed Strategic Plan, and goals of the Center and will then be responsible for overseeing day-to-day
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electrophysiology is encouraged. The successful candidate will work with Dr. Livingstone to develop an independent research project within the scope of the lab’s research focus. In addition to carrying out
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coordinate the recruitment and scheduling of participants into the study, manage the theoretical sampling regime, analyze interview transcripts, develop theory following the grounded theory method, and