108 parallel-processing-bioinformatics Fellowship research jobs at Harvard University
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to manage the Fellowship recruitment and selection process. Program Development and Implementation Manage all logistics of the fellowship program, including annual fellowship, triannual alumni
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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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sequencing data. The initial appointment period is funded for one year. Basic Qualifications Candidates should have a PhD in computer science, physics, bioinformatics or a related field, and an interest in
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Postdoctoral Fellow with Assistant Professor Tracy Ke. Assistant Professor Ke’s lab focuses on research in high-dimensional data analysis, machine learning, social network analysis, text mining, bioinformatics
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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