2022 Flatiron Machine Learning X Science Summer School: How to Apply

2022 Flatiron Machine Learning X Science Summer School

Under Review
Career Stage
Graduate Student, Undergraduate Student
  1. Application Deadline

    April 15, 2022

  2. Program Dates

    June 6, 2022

  3. to

    August 5, 2022

Contacts

The Flatiron Machine Learning X Science summer school starts with the motivation to introduce modern methods of statistical machine learning and inference to the scientific community. It was motivated by the observation that while many students are keen to learn about machine learning, and an increasing number of scientists want to apply machine learning methods to their research problems, very few machine learning courses teach state of the art methods with science applications in mind.

Flatiron Machine Learning X Science summer school presents both topics which are at the core of modern Machine Learning, but also topical applications of modern ML on a variety of scientific disciplines. The speakers are leading experts in their field who talk with enthusiasm about their subjects.

Apply here: https://forms.monday.com/forms/0cc00966cbad036601426887bddda5d4?r=use1

Housing in the NYC area will be provided for all participants. Expect to receive additional information if your application is selected

More Funding Opportunities

Supports students entering U.S.-based Ph.D. programs in ecology and evolution, with particular interest in interdisciplinary research spanning ecological and evolutionary timescales and other STEM fields.

Supports students entering U.S.-based Ph.D. programs in ecology and evolution, with particular interest in interdisciplinary research spanning ecological and evolutionary timescales and other STEM fields.

The MPS division invites applications for the Simons Dissertation Fellowship in Mathematics to provide research support to excellent graduate students in the final years of their Ph.D. studies. This program was created to honor the work of our late founder, Jim Simons, and his commitment to supporting the field of mathematics.