12-16 September 2022, Einsiedeln, Switzerland

The Summer School will provide an overview of current machine learning (ML) techniques, their challenges and opportunities. ML is a type of artificial intelligence (AI) that allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so.

The Summer School is especially aimed at participants with a background in plant sciences. You will gain an understanding of the concept of ML and insights into its potential and possible applications. You will learn how ML is being used in research fields of soil science, microbiology, ecology, biodiversity, agriculture, plant breeding, and plant pathology.

The Summer School will bring together a multidisciplinary group of participants and facilitate project-based teamwork to strengthen collaborations in different fields and to foster networking.

Visit the Summer School Website for details and registration! Deadline for registration is: 13 June 2022.

Contact: Barbara Templ

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PSC Fields of Activities

PhD and Postdoc Funding and Fellowship Programs
Research Directions
Research Networks

Master's Coursework
PhD Program in Plant Sciences
PhD Program in Science & Policy

Conferences and Symposia
Public Round Tables
Plant Sciences at School
Dialog im Quartier
CreativeLabZ
Klimagarten

• JRC-PSC Collaborative Doctoral Program
• Syngeta-PSC Fellowships
• RESPONSE – Doctoral Program (MSCA COFUND H2020)