Multi-view learning and quantitative genetics to identify the molecular basis of adaptation to chemical pollutants

Project description

Adaptation of natural populations to pesticides

Fields of science

• medical and health sciences › health sciences › public health
• natural sciences › computer and information sciences › artificial intelligence › machine learning
• natural sciences › biological sciences › genetics › genomes
• medical and health sciences › basic medicine › toxicology

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-2020 - Individual Fellowships

Call for proposal

H2020-MSCA-IF-2020

See other projects for this call

Funding Scheme

MSCA-IF-EF-ST - Standard EF

Coordinator

THE UNIVERSITY OF BIRMINGHAM

Net EU contribution

€ 224 933,76

Address

Edgbaston
B15 2TT Birmingham
United Kingdom

Region

West Midlands (England) › West Midlands › Birmingham

Activity type

Higher or Secondary Education Establishments

Links

Other funding

€ 0,00