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, we plan to demonstrate a fully autonomous buggy that uses our EPiC system. This project is a collaboration among Lightmatter, Boston University, and Harvard University. The Lightmatter team is led by
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are seeking candidates who bring experience with one of the following: Programming and Data Handling: Experience with SQL, PySpark, and cloud-based data tools such as Azure Data Lake, Synapse, or Fabric; and
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Fellows: Rubin Lab The Rubin lab in Harvard’s Department of Stem Cell and Regenerative Biology has an exciting and broad multiomics program focused on brain aging. Approaches will include experimental and
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are invited to participate in broader activities at Harvard and Brown, including seminars and courses. The program serves as an ideal bridge between college and graduate school for students interested in
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programming and communication skills. Experience in analysis of high-throughput sequencing data is highly desirable. Additional Qualifications Special Instructions Required documents: Curriculum Vitae Statement
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and non-compliance, analysis of heterogeneous effects and interference; Designing lab experiments, field experiments, and/or surveys; Programming/scripting knowledge suitable for processing raw data
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to develop an innovative research program in sequential decision making. Our lab is involved in digital health studies in dental health, cardiac health, physical activity, mental illness and substance abuse
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Asian context. Applications will be collected via ARIeS and will contain: A five-page, double-spaced research plan. An updated and current curriculum vitae, which lists your academic degrees (including
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surveys; Programming/scripting knowledge suitable for processing raw data for analysis (e.g., text manipulation); One or more computational environments for statistical analysis (e.g., MATLAB, Stata, R
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surveys; · Programming/scripting knowledge suitable for processing raw data for analysis (e.g., text manipulation); · One or more computational environments for statistical analysis (e.g., MATLAB, R