68 machine-learning-"https:" "https:" "https:" "https:" "https:" positions at Harvard University in United States
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design Familiarity with laboratory safety concepts Beneficial to have experience with a range of machining, welding, and fabrication equipment (e.g., lathes, milling machines, TIG/MIG welding, 3D printers
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machine learning. The specific goal is to extend new and existing visualization environments to support efficient and precise annotation of histopathology images using a combination of expert human review
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diverse, inclusive community dedicated to alleviating suffering and improving health and well-being for all through excellence in teaching and learning, discovery and scholarship, and service and leadership
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these disciplines and a robust public program of lectures, exhibitions, and publications. The immense variety of people, programs, and ideas at the School sustains a vibrant and rich environment for learning, inquiry
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, supporting departmental and divisional initiatives, etc.). Working Conditions: Physical Requirements Sitting using near vision use for reading and computer use for extended periods of time Working Conditions
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where innovation, continuous learning, and work-life balance are valued. Learn more about the School’s mission, objectives, and core values , our Principles of Citizenship , and about the Dean’s AAA
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computer. Maintains chemical treatment program and enters information into computer. Cleans and maintains plant and assigned boiler facilities. Perform inspections, preventive maintenance on various
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generally accepted accounting principles is critical Minimum of ten or more years of related experience. Education beyond high school may count toward experience. Must have excellent computer skills including
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about the Shih Lab: Learn more about the innovative work led by Dr. William Shih here: https://www.shih.hms.harvard.edu/ . What you’ll do: Develop DNA-based sensors that seed crisscross assembly of single
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simultaneously by digitization, the application of artificial intelligence and machine learning to all facets of company, economic, and human data, and a new emphasis on the importance of design and innovation