Machine learning and the physics of complex and disordered systems

Project description

Machine learning could become a powerful tool in physics research

Fields of science

• natural sciences › computer and information sciences › artificial intelligence › machine learning › reinforcement learning
• natural sciences › physical sciences › theoretical physics
• natural sciences › computer and information sciences › artificial intelligence › computational intelligence
• humanities › philosophy, ethics and religion › philosophy

Programme(s)

• H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme
• H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility

Topic(s)

• MSCA-IF-2019 - Individual Fellowships

Call for proposal

H2020-MSCA-IF-2019

See other projects for this call

Funding Scheme

MSCA-IF-GF - Global Fellowships

Coordinator

UNIVERSITAT ZURICH

Net EU contribution

€ 260 840,64

Address

Ramistrasse 71
8006 Zurich
Switzerland

Region

Schweiz/Suisse/Svizzera › Zürich › Zürich

Activity type

Higher or Secondary Education Establishments

Links

Non-EU contribution

€ 0,00

Partners (1)

Partner

Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.

THE UNIVERSITY OF CHICAGO

United States

Net EU contribution

€ 0,00

Address

S Ellis Ave 5801 Room 503
60637 Chicago Illinois

Activity type

Higher or Secondary Education Establishments

Links

Non-EU contribution

€ 165 265,92