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Machine Learning in the Chemical Sciences and Engineering (USA)

The Machine Learning in the Chemical Sciences and Engineering from the The Camille & Henry Dreyfus Foundation is a multi-purpose grant to support the adoption of machine learning / data science approaches in chemical sciences and engineering. The funding may be used for, but not limited to, education, research, postdoctoral training, or scientific exchange. Some examples include:

  • molecular synthesis, including mechanisms, techniques, and applications
  • theory, computation, physical properties of molecules or materials
  • rates and mechanisms of new chemical processes
  • new or improved materials and materials applications
  • postdoctoral support for collaborations that combine chemical science research with ML expertise
  • collaborative sabbaticals, extended visits, and meetings
  • education, e.g., new courses, seminar series, MOOCs,…
  • public libraries of chemistry and chemical engineering data for use in ML

Applicants must be based at academic institutions in the USA that grant a bachelor’s or higher degree in the chemical sciences. Funding is proposal-dependent and ranges from 50,000 – 150,000 USD. Applications close on April 6, 2023.

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