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the amount of tedious and error-prone manual work. The driving factor is the availability of large amounts of data. However, in this domain data is often sparse or labelling data is expensive. This requires
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the amount of tedious and error-prone manual work. The driving factor is the availability of large amounts of data. However, in this domain data is often sparse or labelling data is expensive. This requires
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Max Planck Institute for Medical Research, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 16 days ago
and battery technology. The place of work will be in Stuttgart and Heilbronn. Your tasks direct collaboration with PhD students and postdocs on cutting-edge research fabrication of novel metal fiber
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significantly impact next-generation experiments at large facilities. Tasks: This project will develop innovative ultracold neutron detectors, using superconducting microstructures for spin- and energy
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Frankfurt School of Finance & Management • | Frankfurt am Main, Hessen | Germany | about 15 hours ago
, and a vibrant research environment in one of Europe’s leading business schools. International elements Language training provided Course-specific, integrated German language courses Yes Course-specific
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https://www.chemie.uni-bonn.de/de/forschung/bigschemistry for further details). International elements Projects with partners in Germany and abroad Special promotion / funding of the programme DFG (e.g
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and chronic stress, is the most robust risk factor for mood and anxiety disorders but also other psychiatric and medical disorders. In our research we aim to gain a better understanding of the adaptive
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characterization of interface deformation mechanisms, including advanced SEM and TEM methods Finite Element Modeling to design and optimize micromechanical testing geometries Timely dissemination of research
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). The institute also maintains locations in Dedelow and Paulinenaue. The PostDoc will work within the Resource-Efficient Cropping Systems group in the CropCat project on upscaling minor crops with institutional
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(subproject A1): This project aims to enhance smartphone-based survey methods as one component of future multi-method travel surveys, to achieve representative samples and travel estimates, to collect