68 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at Harvard University
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of complex systems, networks, and large-scale data Machine learning, generative AI, NLP, or algorithmic decision systems Ideal applicants will have a strong background in operations research, statistics
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Job-Specific Responsibilities: Course/Teaching Support Supports both in-person and online classroom teaching and learning Coordinates activities with other course administration offices (e.g., Academic
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protein coding genetic association data with functional and machine learning-derived features 4. Developing methods to characterize the genetic architecture of autism Salary and Benefits This position is
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Job Summary: At the Developmental Interactions Lab, our goal is to conduct research and develop professional learning materials to support early childhood educators, especially in low-income communities
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research and recent publications, see the Geometric Machine Learning Group’s website: https://weber.seas.harvard.edu/ . For questions, please email mweber@seas.harvard.edu Applications will be reviewed on a
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. Must be proficient in writing business correspondence and have strong computer skills. Must have a demonstrated ability to work collaboratively in a team environment with multiple staff members. Must be
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University More Jobs from This Employer https://main.hercjobs.org/jobs/21774562/postdoctoral-research-fellow-in-statistical-machine-learning-and-biomedical-ai Return to Search Results
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, or Stata); · Creating and managing very large datasets; · Machine learning skills. Basic Qualifications A Ph.D. in any business discipline, organizational behavior, economics, statistics, environmental
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world are facing dramatic upheaval as a result of rapid technological change driven simultaneously by digitization, the application of artificial intelligence and machine learning to all facets of company, economic
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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