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the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission
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Duisburg-Essen is seeking at the Duisburg Campus in the Faculty of Physics Doctoral Researcher (f/m/d, Nr. 326-25) salary group 13 TV-L Location: Duisburg Application area: Faculty of Physics Start of
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model complexes. This research is part of a large, funded collaborative project supported by the Swiss National Science Foundation, involving partner researchers based in Germany, Switzerland, and France
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physical and social context, prior interactions, rank differences, and kin relationships. Our goal is to study the importance of different information sources in great ape communicative interactions
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- and Q-band EPR spectrometer. The candidate will be responsible for designing, building, and optimizing instrumentation and methods to investigate complex catalytic systems — including both synthetic and
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. Particular emphasis is on the role of context in primate communication, such as physical and social context, prior interactions, rank differences, and kin relationships. This project will thereby contribute
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responsibilities will include utilizing state-of-the-art ML platforms such as TensorFlow and PyTorch to process and analyze complex datasets related to CO2 transport and storage. You will develop methods for real
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processes, and the application of AI methods in engineering. Description: Nowadays, computer-aided manufacturing (CAM) methods are used to a large extent for the production of complex machine components, in