Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
-
Field
-
, mathematical sciences, engineering or machine learning, or related discipline required by the time the appointment begins. Additional Qualifications Demonstrated strong commitment to teaching and advising is
-
proteomics data Familiarity with machine learning or LLM -based approaches applied to biological data is a plus Comfort working in a collaborative, cross-disciplinary environment spanning wet-lab and
-
social impact projects, as well as in multiagent systems, including computational game theory, security games, machine learning in multiagent settings, automated planning under uncertainty, social
-
assistant, associate, faculty, instructor, tenure track Boston, Cambridge, Massachusetts, MA, Northeast, New England, statistics and AI; probability and AI; statistical foundations and methodologies of AI; machine learning; generative AI; trustworthy AI; AI for science.
-
, faculty, instructor, tenure track Boston, Cambridge, Massachusetts, MA, Northeast, New England, statistics and AI; probability and AI; statistical foundations and methodologies of AI; machine learning; generative AI; trustworthy AI; AI for science.
-
. Donald Ingber and Dr. Girija Goyal here: https://wyss.harvard.edu/team/core-faculty/donald-ingber/ ; https://wyss.harvard.edu/news/inodes-receives-arpa-h-award/ https://wyss.harvard.edu/technology
-
, faculty, instructor, tenure track Boston, Cambridge, Massachusetts, MA, Northeast, New England, statistics and AI; probability and AI; statistical foundations and methodologies of AI; machine learning; generative AI; trustworthy AI; AI for science.
-
, faculty, instructor, tenure track Boston, Cambridge, Massachusetts, MA, Northeast, New England, statistics and AI; probability and AI; statistical foundations and methodologies of AI; machine learning; generative AI; trustworthy AI; AI for science.
-
opportunity to present your research to regulatory agencies, investors, pharma companies etc. Learn more about the innovative work led by Dr. Don Ingber here: https://wyss.harvard.edu/technology/human
-
areas such as statistical modeling, machine learning, intensive longitudinal data analysis, micro-randomized trial design, natural language processing, Al applications in digital health, and real-world