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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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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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Description Postdoctoral positions are available in Cengiz Pehlevan’s research group at Harvard University. Our group investigates how intelligence emerges from the collective dynamics of simple processing
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at least two of the following: electrophysiology, rodent experimentation, programming of controllers, neuroprosthetics or neuromodulators, peripheral nerve surgery, neural interfacing models Track record
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with an interdisciplinary team of statisticians, physicians, computer scientists, and health policy researchers. The successful candidate will lead development of variable importance measures – including
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-disciplinary team of researchers, including bioinformaticians, pathologists, oncologists, and computer scientists, and conduct original research on computational pathology. Digital pathology images contain rich
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for energy-efficient building and urban operation Exploration of novel Human-Building Interaction interfaces Design of cooperative energy-sharing systems across multiple buildings Integration of data-driven
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of new approaches to safely reverse aging and treat both rare and common diseases, while actively supporting the collaborative and innovative environment of the lab. Salary and Benefits This position is
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collection and processing for lab and field based studies of back assisting wearable robots. The Research Fellow should be a collaborative problem solver who is proficient at building a strong rapport with
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to the development and application of new approaches to safely reverse aging and treat both rare and common diseases, while actively supporting the collaborative and innovative environment of the lab. Salary and