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new perspectives. There are no teaching requirements for these open positions. Candidate Profile – We are seeking candidates who bring experience with one of the following: Programming and Data Handling
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degree requirements must be satisfied prior to the fellowship start date and not be more than five years removed from obtaining their PhD. Applicants are expected to have strong analytical and programming
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research focused on well-being and public health supervision or mentorship experience demonstrated interest or experience in program development and community engagement preference for previous experience
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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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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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assessment, and ambulatory behavioral assessments to precisely track brain and cognitive change over short intervals. The program of research seeks to understand individual differences in aging trajectories
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others enthusiasm for interdisciplinary research focused on well-being and public health supervision or mentorship experience demonstrated interest or experience in program development and community
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of developmental and/or regenerative neurobiology, neuronal cell biology, and/or nervous system disease involving the cerebral cortex to join an ongoing research program focusing on the developmental, degenerative
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Informatics (DBMI) at Harvard Medical School and the Yu Lab are seeking a Postdoctoral Research Fellow with experience in machine learning and scientific programming. The candidate will work with a multi