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days of vacation per calendar year, 12 days of personal/sick time Paid Holidays and Special Days Off: https://www.bowdoin.edu/hr/our-workplace/college-holidays-and-special-days-off.html Paid Parental
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data-driven engineering methods, particularly those leveraging artificial intelligence or machine learning. Key Responsibilities & Accountabilities 1. Initiate, Execute, and Complete Advanced
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We are seeking creative and energetic candidates with strong experience in multimodal machine learning and human behavior analysis and modeling for a one-year Postdoctoral position. Using recent
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position in biomedical informatics is available at Harvard Medical School to work at the intersection of advanced machine learning and large-scale biomedical data. The selected fellow will join a dynamic
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community partners to ensure outputs reflect local priorities and inform adaptation planning. Duties may include: Develop spatially explicit computational models using machine learning, hydrologic, and energy
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of Texas at Austin. In our lab, we are interested in studying how people and machines understand emotions. Recent projects include: how generative AI may be able to provide empathy, how people perceive
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repair on RNA-DNA hybrids of R-loops using computational modeling and molecular dynamics simulation along with various types of AI tools and machine learning approaches. Temporary Expertise in
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spatial and temporal data analysis using advanced machine learning technologies. The successful candidate will become a part of an interdisciplinary team working to develop machine learning techniques
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focusing on multi-omic integration analytics, machine learning, and/or AI. In addition to carrying out research, the successful candidate will be expected to apply for fellowship funding, contribute
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with anxiety and co-occurring learning difficulties. Specific duties include recruiting and scheduling participants, making phone calls, assisting with research study visits, collection of cognitive