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TZID:Europe/Brussels
UID:20260713T135317-1161134411@eera.com
DTSTART:20260830T220000Z
DTEND:20260903T220000Z
DTSTAMP:20260713T135317Z
SUMMARY:DIADEM ACADEMY Summer School 2026
DESCRIPTION: Join us in Grenoble, France, for an intensive week dedicated to the intersection of Materials Science and AI. As part of the PEPR DIADEM ecosystem, this summer school offers a unique opportunity to transition from traditional experimental methods to AI-driven, automated research workflows. What’s in the program?  Expert Lectures: Learn from international leaders in high-throughput experimentation and machine learning. Hands-on Coding: Practical workshops to implement AI models directly into your research data. Site Visits: Exclusive access to Grenoble’s world-class scientific facilities (including the ESRF synchrotron). Networking: Build lasting connections with a community of researchers at the forefront of the field.  Target Audience:  Doctoral students (PhD) & Postdoctoral researchers   Young researchers in materials science, physics, chemistry or data science Scientists wishing to apply AI to materials researchand scientists in materials science, physics, chemistry, or data science who wish to apply AI to their research. Master students are also welcome but strong motivation is required as it will be fast paced,  Key Information: Location: Phelma building, Saint Martin d’Hères - UGA Campus, France https://formation.pepr-diadem.fr/infos-pratiques Dates:  August 31 to September 4, 2026  Website:  https://formation.pepr-diadem.fr/summer-school Language:  English Registration: closes on 30 April at 23:59  Price: Free for DIDAEM and French research institutions (a fee will be charged to private sector participants) ⚠️️ Conditions:  Participation is subject to application and acceptance. Places are limited !  Don’t miss out! Applications are now open. Visit our website to explore the full program and submit your candidacy: https://formation.pepr-diadem.fr/summer-school Important Note on the Curriculum: Please note that this is an intensive, high-paced week covering a wide range of topics. To get the most out of the hands-on sessions, we strongly recommend that participants familiarise themselves a little bit with Linux and Python basics prior to the school. (Links on our information page : https://formation.pepr-diadem.fr/en-details) Join us to bridge the gap between materials science and artificial intelligence!
LOCATION:Phelma building, Saint Martin d’Hères - UGA Campus,  France
TRANSP:OPAQUE
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