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Enabling the real-world application of machine-learning augmented linear reacting mean field analysis to facilitate the conversion of green hydrogen to electrical energy
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Applicant Thomas Ludwig Kaiser
Subject Area Fluid Mechanics
DFG Programme Independent Junior Research Groups Term Since 2024
Hydrogen is widely seen as a promising strategy for managing the energy transition. It makes it possible to store surplus
energy from wind and solar power ...
Between Intensification and Relativisation. Modalities and Mechanisms of Religious Change among Muslim and Christian Refugees from Syria in Germany, Austria and Switzerland
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Applicant Alexander-Kenneth Nagel ( in cooperation with Martin Baumann, Regina Polak )
Subject Area Religious Studies and Jewish Studies
DFG Programme Research Grants Term Since 2024
The aim of the proposed Weave project is to explore the spectrum of religiosity and the modalities and mechanisms of religious
change among Syrian refugees in ...
Machine learning aided causal inference: Harnessing Multidimensional Omics Data to Improve Understanding of Complex Diseases
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Applicant Pascal Schlosser
Subject Area Epidemiology and Medical Biometry/Statistics
DFG Programme Independent Junior Research Groups Term Since 2024
The proteome and the metabolome are closely linked. Proteins are responsible for a wide range of biological functions, from
catalyzing enzymatic reactions to ...
Leader Philipp Geyer
Review Board Construction Engineering and Architecture
DFG Programme Major Research Instrumentation Term in 2024
For the heat transition and integration of renewable energies, systems with components (heat pumps, heat exchangers, absorbers,
collectors, etc.) are required ...
Leader Raimund Vogl
DFG Programme Major Research Instrumentation Term in 2024
A total of 20 computing nodes, each with 4 GPGPU accelerators, are to be procured for the GPU cluster. Of these, 4 computing
nodes are to be equipped with ...