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the range of $67,600 per year, depending on whether a recently defended graduate or already with 1 year of postdoc experience in the Ph.D. lab. The position offers full Harvard benefits. Basic Qualifications
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from graduate student to postdoc, and we always welcome individuals who are interested in applying their unique expertise to study interactions between cells, tissues, organs, and organisms. Basic
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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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fabricating nanoelectronics and flexible electronics. An extensive experience in cleanroom nanofabrication is required. The postdoc is also expected to collaborate with other researchers to apply
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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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environment, and participate in discussions and present results to Dr. Regehr and other members of the lab on a regular basis. Additionally, postdocs will prepare presentations or posters to discuss results in
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behaving animals, high resolution behavioral tracking, optogenetics, and data analysi.. All candidates must have received a Ph.D. in a relevant field. The postdoc will be based at the Northwest Laboratories
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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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populations and biobanks for risk prediction, genetic discovery, and genomic medicine. Federated and transfer learning for distributed and privacy-preserving data integration. AI and Deep learning approaches
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transfer learning for distributed and privacy-preserving data integration. AI and Deep learning approaches to high-dimensional and multi-modal biomedical data. Causal Inference, Fairness, and Trustworthy AI