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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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 AIN group develops new methods and tools to deal with the exponentially increasing amount of data in astronomy.
The CCC group uses state-of-the-art computational chemistry to explore and exploit diverse functional organic materials.
The CME group focuses on developing algorithms, computer architectures, and high-performance computing solutions for bioinformatics.
The CST group focuses on the theory and practice of forecasts as well as on spatial statistics.
The DMQ group uses stochastic mathematical models, high-performance computing, and hardware-aware computing to quantify the impact of uncertainties in large data sets.
The GRG group investigates various mathematical problems in the fields of geometry and topology, which involve the interplay between geometric spaces.
The MCM group focuses on the interactions of biomolecules. Research methods include interactive, web-based visualization tools and atomic-detail molecular simulations.
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.
The NLP group develops methods, algorithms, and tools for the automatic analysis of natural language.
The PSO group models thermonuclear explosions of white dwarf stars leading to the astronomical phenomenon of Type Ia supernovae.
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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