ZIB | Zuse Institute Berlin (ZIB)

Das Zuse-Institut Berlin (ZIB)

ist ein interdisziplinäres Forschungsinstitut für angewandte Mathematik und datenintensives High-Performance-Computing. Die Forschung konzentriert sich auf die Modellierung, Simulation und Optimierung in Zusammenarbeit mit wissenschaftlichen Kooperationspartnern aus Wissenschaft und Wirtschaft.

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Dynamic Structure of Life

How cells organize patterns in space and time

Researchers at ZIB develop data analysis and mathematical modeling techniques and apply them in cooperation with biologists in order to gain insight into fundamental principles of biological processes, such as cell division, protein regulation, and brain formation and activity.

Vollständiger Artikel (Englisch)

Dusting off Cometary Surfaces

Modeling gas and dust around comet Churyumov-Gerasimenko

The European Space Agency Rosetta mission to comet 67P/Churyumov-Gerasimenko (67P/C-G) sent back millions of observations during its journey around the sun. ZIB contributed to the scientific analysis of the space mission by modeling the gas and dust environment around the comet on the HLRN supercomputer. Photo: ESA/Rosetta/NavCam

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Specific fuel consumption for the Lufthansa fleet

New navigation systems for aircraft save fuel and time

Cheap air transport has become a matter of course since the 1980s.

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Mathematics Meets Humanities

Examples from ancient studies and psychology

For many years, the humanities and mathematics were considered as two sciences that have little to do with one another. During the last decade, however, researchers on both sides realized the potential lying in the respective other field. In this article, we present four examples illustrating this potential.

Vollständiger Artikel (Englisch)

Software Sustainability in the Age of Open Science

When mathematicians combine mathematical theory and real-world applications, then mathematical research software complements chalk and blackboard, or pencil and paper. Today, mathematical software plays a central role in research and key technologies and has an increasing impact on mathematical education.

Vollständiger Artikel (Englisch)

Scalability and Concurrency

Challenges from Two Interdisciplinary Research Projects

How to chop and distribute hundreds of continuous high-bandwidth data streams efficiently in a network so that, for each time frame, the sensor data is collected in a particular analysis node? How to exploit modern network capabilities, like remote direct memory access, to improve the scalability of SAT solving on supercomputers?

Vollständiger Artikel (Englisch)

Jahresbericht Archiv

ZIB Annual Report 2018

According to our web page, “ZIB is an interdisciplinary research institute for application-oriented mathematics and data-intensive high-performance computing. Its research focuses on modeling, simulation, and optimization (MSO) with scientific cooperation partners from academia and industry ”. In our understanding, ...

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ZIB Spezial

Mathematikkalender

29.01.2020

Alexander Heinlein (Universität zu Köln)

Overlapping Schwarz preconditioning techniques for nonlinear problems

Wednesday, January 29, 2020 - 16:15

Humboldt-Universität, Institut für Mathematik

Rudower Chaussee 25, 12489 Berlin, Raum 2.417, Haus 2

Forschungsseminar "Numerische Mathematik"

Prof. C. Carstensen

submitted by S. Schmidt (sschmidt@math.hu-berlin.de, 2093 45330)

ZIB Jobs

Stellenangebote

SH 04/20

Studentische Hilfskraft (w/m/d)

A 03/20

Technischen Beschäftigten / Gebäudetechniker (w/m/d) für die Verwaltung

SH 03/20

Studentische Hilfskraft (w/m/d) für den Bereich Mathematics for Life and Material Science

SH 02/20

Studentische Hilfskraft (w/m/d) im Bereich Verwaltung

SH 01/20

Studentische Hilfskraft (w/m/d) für die Abteilung Numerical Mathematics

DSH 20

Dauerausschreibung studentische Hilfskräfte (d/w/m)

WA 41/19

Wissenschaftlichen Angestellten (w/m/d) für die Abteilung Mathematical Optimization

Akademische Ausbildung

Themen für Abschlussarbeiten

Das ZIB bietet immer interessante Themen für Abschlussarbeiten in Zusammenarbeit mit verschiedenen Universitäten.

MA-05/19 Visualization Techniques for 3D Image Data

MA-04/19 3D Convolutional Neural Networks for Classification of Diseases

MA-03/19 Geometric Deep Learning for Dense Correspondence

MA-01/19 Evaluation and Comparison of Linear and Non-linear Approaches for the Analysis and Synthesis of Facial Motion

How cells organize patterns in space and time

Modeling gas and dust around comet Churyumov-Gerasimenko

Examples from ancient studies and psychology

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Themen für Abschlussarbeiten