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VERSION:2.0
PRODID:https://github.com/derhansen/sf_event_mgt
METHOD:PUBLISH
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UID:146-96@www.leopoldina.org
CLASS: PUBLIC
SUMMARY:International Leopoldina Symposium on Molecular Machine Learning
DESCRIPTION:Machine learning (ML) in chemistry is a very dynamic field of r
 esearch that is characterised by strong interdisciplinarity. The aim of the
  symposium is to bring together leading scientists from various disciplines
  and to create a platform for an exchange on current research topics and ch
 allenges.\n\nA particular focus of the symposium is on topics such as the i
 nterpretability of model predictions, the development of automated laborato
 ries and the use of ML for the accelerated development of functional materi
 als and drugs.\n\nRegistration\n\nRegister now\n\nContact\n\nLeon Schlosser
  Universität Münster leon.schlosser@uni-muenster.de
LOCATION:Halle (Saale)
DTSTAMP:20251112T170935Z
DTSTART:20240303T230000Z
DTEND:20240305T230000Z
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