Sort by
Refine Your Search
-
Listed
-
Field
-
at the interface of data science and the scientific domains pursued at the three participating Helmholtz centers. Methodologically, a broad range of topics is covered, from large-scale data management to data mining
-
our research and whether it may fit your interests, please read some recent papers by our lab before you apply. Additional Information CISPA and the University of Stuttgart have a large interest in
-
Artificial Intelligence) is being expanded into a leading German AI competence center for Big Data and Artificial Intelligence (AI). It is located at the University of Leipzig and the TUD Dresden University
-
. - Neural networks and machine learning strategies for the analysis of scattering data. Large amount of scattering data obtained in our group requires development of the advanced analysis techniques. In
-
data handling routines You will also have an opportunity to: Participate in X-ray scattering experiments at world-leading large-scale X-ray facilities such as Deutsches Elektronen-Synchrotron DESY in
-
understanding of transport systems spanning microscopic, mesoscopic and macroscopic levels. Of particular focus will be automated planning methods that leverage emerging data and novel metrics that embed ethics
-
process understanding and parametrizations that lead to improved, energetically consistent, climate models. Close collaboration with the other research areas of the CRC is expected, and more information can
-
(Center for Scalable Data Analytics and Artificial Intelligence) is being expanded into a leading German AI competence center for Big Data and Artificial Intelligence (AI). At the Center
-
well as respective codes / solvers Connecting codes in an interactive way, including data bases, with respective documentations Evaluation of DT modules with respect to their efficiency and robustness Simulations
-
will analyze epigenetic profiles in premature ageing embryos by Next Generation Sequencing, to understand the molecular network involved in these phenotypes. You will learn to analyze these Big Data by