Ruprecht-Karls-Universität Heidelberg
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IWR - Where Methods Meet Applications

The IWR is an interdisciplinary research center for scientific computing which builds bridges across a multitude of disciplines. The center promotes mathematical and computational methods in science, engineering and the humanities. Currently it comprises more than 50 research teams from various faculties. About 500 scientists work together in interdisciplinary cooperation projects. In addition to educating the next generation of excellent scientists, the IWR also focuses on advancing international research networks. [More...]

Events

January 22, 2020
IWR Colloquium "Quantum Machine Learning"
Prof. Anatole von Lilienfeld • University of Basel [More...]

January 29, 2020
IWR Colloquium & HGS MathComp Von Neumann Lecture "Data-sparse Methods for Large-scale Optimization and Spatial Statistics"
Prof. David Keyes • King Abdullah University of Science and Technology (KAUST) [More...]

[More Events]

News & Announcements

9. Januar 2020
Künstliche Intelligenz für automatisiertes Fahren
Die Arbeiten unter der Leitung von IWR-Mitglied Prof. Björn Ommer sind Teil eines großangelegten Verbundvorhabens, das die auf Künstlicher Intelligenz basierenden Wahrnehmungsfunktionen durch geeignete Methoden und Maßnahmen absichern und somit verlässlich machen will. [Weiter...]

October 11, 2019
Ralf Klessen receives ERC Synergy Grant
Congratulations to IWR Member Prof. Ralf Klessen. He is part of an international research team which received an ERC Synergy Grant in order to study the Milky Way as a "galactic ecosystem". [More...]

September 9, 2019
The accuracy of German citizens’ confidence in their climate change knowledge
Publication in “Nature Climate Change” by IWR Member and HGS MathComp Fellow Nadia Said and her colleagues. [More...]

[More news]

 webmaster@iwr.uni-heidelberg.de
Last Update: 16.01.2020 - 15:54

Upcoming Events

January 22, 2020

04:15 PM

Quantum Machine Learning

Prof. Anatole von Lilienfeld, University of Basel (Switzerland), Department of Chemistry

January 29, 2020

04:15 PM

Data-sparse Methods for Large-scale Optimization and Spatial Statistics

Prof. David Keyes, King Abdullah University of Science and Technology (Kingdom of Saudi Arabia), Director of the Extreme Computing Research Center

Ausstellung

18. November 2019 - 31. Januar 2020

Interdisciplinary Dialogue

Interdisciplinary Education

International Master Program: Scientific Computing

Building Bridges Across Disciplines

Scientific Computing as Part of The Institutional Strategy of Heidelberg University