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alignment, variant calling, sequence data QC, etc. Proficiency in Docker for creating a reproducible execution environment and Workflow Description Language for orchestrating complex tasks. Strong
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scientists on a range of projects with a specific emphasis on the interpretation of single cell results within a biological context. The position also entails close collaborations with multiple groups, many
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postdoctoral research associate to work with Professor Michael Desai at Harvard University on projects involving inferring sequence-function landscapes, using a combination of empirical data and ML methods
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within a biological context, and on interfacing with collaborating groups developing AI and machine learning models using this data. The position entails close collaborations with multiple groups
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learning (e.g., transformers, sequence models, representation learning) Spatiotemporal modeling or geospatial/temporal data analysis Medium-to-Large-scale foundation models pretraining/fine-tuning paradigms
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design studio reviews and offer instruction in the related areas and/or topics that are part of the required core technology sequence of the M.Arch I program. Examples include, but are not limited to
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design studio reviews and offer instruction in the related areas and/or topics that are part of the required core technology sequence of the M.Arch I program. Examples include, but are not limited to
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work under the supervision of Prof. Flavio Calmon at Harvard SEAS . The postdoctoral researcher will develop information-theoretic methods for alignment, privacy, and reliability in modern AI systems
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ideal candidate will be eligible for a joint faculty appointment in the Department of Bioengineering. The Chair will lead strategic planning in alignment with the School’s vision and mission. The
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, algorithms and statistics. Familiarity with programming techniques for analyzing data sets and experience working with BIG DATA (eg. NGS data in multi-TB scale). Experience using genome alignment software