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Description The Munich School for Data Science (MUDS) is a joint initiative of Helmholtz Munich, Helmholtz Institute for RNA-based Infection Research (HIRI), and the German Aerospace Center (DLR
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of Prof. Dr. Frank Cichos and Dr. Nico Scherf (Max Planck Institute for Human Cognition and Brain Sciences). The position is part of a collaborative project in the Center for Scalable Data Analytics and
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learning and data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms
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of neural hydrology, where hydrological models are directly learned from data via machine learning (e.g., LSTM neural networks, [1]). Initially, these models ignored all physical background knowledge and did
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– from the modeling of material behavior to the development of the material to the finished component. PhD Position in Machine Learning and Computer Simulation Reference code: 50145735_2 – 2025/WD 1
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and Data Science (MIDS) at the KU Eichstätt-Ingolstadt. The research group works at the intersection of analysis, modeling and simulation. The advertised position is partly funded by the German Research
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on the analysis and interpretation of the GNSS observations as well as on the application of geological and glacial-geomorphological findings for the reconstruction of ice-load history in Antarctic regions
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and Marine Research. The tasks include: scientific advancing methods of satellite altimetry analysis over the Antarctic Ice Sheet analysis of measured surface elevation changes in conjunction with
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two-dimensional materials: spectroscopic investigations of two-dimensional semiconductors, measurements and analysis using linear and non-linear microscopy. The scientific work further includes
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or dysfunction of these ion channels is associated with various diseases such as lysosomal storage disorders, cardiac arrhythmias and heart failure. Further information can be found on our homepage . The BMC is