112 algorithm-phd-"INSAIT---The-Institute-for-Computer-Science" positions at Harvard University
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application to lineage tracing Algorithms for characterizing structural alterations in bulk and single cell whole-genome data Mutational signature analysis for cancer/brain samples Analysis of repetitive
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-photonic computing architectures; Silicon-photonic network architectures Machine Learning Algorithms/Systems: Experience in design and use of ML algorithms; Experience in using ML for designing computing
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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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the number of years post-PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . With this appointment, you are represented by the Harvard Academic Workers (HAW) – UAW for purposes
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welcome applications from recent PhD graduates interested in this field. The successful candidate will work to develop an independent research project within the scope of the lab’s research focus. In
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clinical pulmonologists and immunologists to study the molecular mechanisms that underly airway tissue homeostasis and asthma pathogenesis. In addition, our group aims to develop new computational algorithms
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welcome applications from recent PhD graduates interested in this field. The successful candidate will work to develop an independent research project within the scope of the lab’s research focus. In
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inthe Livingstone lab at Harvard Medical School in Boston Massachusetts. The work of the lab is focused on primate inferotemporal cortex. We welcome applications from recent PhD graduates who
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of Engineering and Applied Sciences. The fellow will design and run human experiments, perform data analysis, and create computational models of learning and memory. A PhD is required. An ideal candidate will be
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welcome applications from recent PhD graduates who are interested in these or related fields, particularly those who may bring a new perspective or new technological expertise to bear on the work in the lab