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of genomic findings. The analysis could include (but is not limited to) cancer driver discovery through genomic alteration analysis (e.g., structural variants), and spatial analysis. We are seeking a highly
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are looking for postdoctoral trainees who are enthusiastic, creative and experienced in circuit level structure/function assays. The Kaczorowski lab is in the Department of Neurology at the University
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University seeks outstanding postdoctoral fellow applicants to join a collaborative research team focused on developing crisscross DNA micron-scale structures for applications in optical computing. In
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scholarly agenda in order to successfully transition to a tenure-track appointment. Indiana University is fully committed to provide mentoring, resources, and structures to support postdoctoral fellows as
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candidates who are excited to build and analyze language models that go beyond standard scaling approaches, including work such as: Inductive bias and learnability, especially structural biases rooted in
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interests in applied statistics, machine learning, or computational biology are encouraged to apply. For more information, please visit our website https://ds.dfci.harvard.edu/postdocs to view the list
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semantic heterogeneity—differences in terminology, structure, and logic—remains a central barrier to reusability, interoperability, and reproducibility. This postdoctoral position addresses a fundamental and
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organic methods for functional small molecules and polymers. The goal of projects in the Huang lab is to tackle critical societal challenges through precise structural control, efficient manufacturing, and
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Genomics at Harvard Medical School Several positions are available in the Park Lab (https://compbio.hms.harvard.edu/ ). The aim of the laboratory is to develop and apply innovative computational methods
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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