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. This is a one-year position with the possibility of extension. The start date is flexible. For more details on our research and recent publications, see the Geometric Machine Learning Group's website: https
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technologies. Experience with imaging technologies and computational data analysis preferred. Strong publication record and evidence of research independence. Excellent communication, teamwork, and problem
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talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes. Harvard has an equal employment
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-b5d3-90ecfb8f7f4c Company Description By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and
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grounded in the Buddhist traditions or drawing from Buddhist wisdom to be of service to the world, whether in a Buddhist community or sangha setting. The Fellow will spend two years (24 months) at Harvard
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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
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, can be found at https://postdoc.hms.harvard.edu/guidelines. Minimum Number of References Required 3 Maximum Number of References Allowed 3 Keywords US Indigenous communities; mental health; social
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all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard’s academic purposes. Harvard has an equal employment
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collaboration with the Principal Investigators. More specifically, the individual will: ● Design, write, and fine-tune code in the R programming language for data cleaning and data analysis; ● Create data
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· Communicate project progress and coordinate with research team Duration: · 3 ½ months Preferred start date as soon as possible but flexible. Basic Qualifications: · PhD or equivalent in engineering, building