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on multi-view sensor perspectives of the “First Mile” test field validation of the developed algorithms and execution of tests on the test bed “Erste Meile” What you bring to the table student in Computer or
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. Here you partly work on your tasks on-site in our institute/ machine park. What you will do Analyze acquired microscopic and video tool wear data Investigate image processing techniques such as spatial
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at the ProSaDi research center. It also provides access to resources at the Digitality and Materiality department at the DSM. This department is dedicated to the integrated implementation of computer-assisted
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terrestrial system models, for example using data analysis methods, such as data assimilation, physical- or process-based machine learning, or deep learning algorithms Analysis of the effects of human
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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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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 2 months ago
develop our state-of-the-art imaging systems by optimizing the hardware and integrating real-time data processing and analysis through machine learning techniques to achieve precise characterization
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Understanding (Prof. Dr. Martin Weigert) Research areas: Machine Learning, Computer Vision, Image Analysis Tasks: fundamental or applied research in at least one of the following areas: machine learning
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) manual annotation of audio, video and images What you bring to the table The following skills are required: experience with algorithm development in Python knowledge of digital signal processing, machine
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) manual annotation of audio, video and images What you bring to the table The following skills are required: experience with algorithm development in Python knowledge of digital signal processing, machine
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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