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                          Heidelberg
                          Institute for
                          Theoretical
                          Studies

                          Think beyond the limits!

                          The Heidelberg Institute for Theoretical Studies was established 2010 by SAP co-founder Klaus Tschira (1940-2015) and the Klaus Tschira foundation as a private, non-profit research institute.

                          HITS conducts basic research in the natural sciences, mathematics and computer science with a focus on the processing, structuring, and analyzing of large amounts of complex data and the development of computational methods and software. The research fields range from molecular biology to astrophysics.

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                          All Research News

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                          20. July 2020

                          Fellowship term ends for Tilmann Gneiting as one of ECMWF’s first three Fellows CST group leader Tilmann Gneiting was appointed …

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                          The new “Task Force COVID-19” is funded by the German Research Foundation (DFG) and aims to make it easier for experts …

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                          A multidisciplinary team is set to establish a research data infrastructure for personal health data in Germany: nfdi4health. The project – …

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                          All HITS News

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                          17. July 2020

                          The Journal of Chemical Information and Modeling (JCIM) published a special issue on “Women in Computational Chemistry” in May 2019 to address …

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                          10. July 2020

                          HITS running team raises 10,000 Euros for cancer research in first virtual NCT Run – Klaus Tschira Foundation sponsors each team kilometer with 25 …

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                          25. June 2020

                          Alone and yet together! On 26-28 June 2020, the running team of the Heidelberg Institute for Theoretical Studies (HITS) will again participate …

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                          The AIN group develops new methods and tools to deal with the exponentially increasing amount of data in astronomy.

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                          Computational Carbon Chemistry

                          The CCC group uses state-of-the-art computational chemistry to explore and exploit diverse functional organic materials.

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                          Computational Molecular Evolution

                          The CME group focuses on developing algorithms, computer architectures, and high-performance computing solutions for bioinformatics.

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                          The CST group focuses on the theory and practice of forecasts as well as on spatial statistics.

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                          Data Mining and Uncertainty Quantification

                          The DMQ group uses stochastic mathematical models, high-performance computing, and hardware-aware computing to quantify the impact of uncertainties in large data sets.

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                          The GRG group investigates various mathematical problems in the fields of geometry and topology, which involve the interplay between geometric spaces.

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                          Molecular and Cellular Modeling

                          The MCM group focuses on the interactions of biomolecules. Research methods include interactive, web-based visualization tools and atomic-detail molecular simulations.

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                          Molecular Biomechanics

                          The MBM group focuses on deciphering how proteins have been designed to specifically respond to mechanical forces in the cellular environment or as a biomaterial.

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                          The NLP group develops methods, algorithms, and tools for the automatic analysis of natural language.

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                          Physics of Stellar Objects

                          The PSO group models thermonuclear explosions of white dwarf stars leading to the astronomical phenomenon of Type Ia supernovae.

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                          The SDBV group improves data storage and the search for life science data, making storage, search, and processing simple to use for domain experts who are not computer scientists.

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