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showcasing the capabilities of machine learning and artificial intelligence within the manufacturing sector, emphasizing their practical application in industrial settings. Under the theme of "Generative AI
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control theory topics. You are enthusiastic about learning and implementing machine learning applications. You have teamwork skills, initiative and the ability to work in an interdisciplinary environment
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or a comparable subject You have already gained initial experience in the area of machine learning or deep learning (ideally with a focus on LLM). You have programming knowledge in Python What you can
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engineering, software design, software engineering, computer engineering, technology management, industrial engineering or comparable. In dosing technology, various components, such as those needed
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focus on biometrics, with special emphasis on computer vision and machine learning. As one of our research associates, you will also be part of the National Research Center for Applied Cybersecurity
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exploration for the utilisation of green forms of energy. What you will do Developing methods for analysing and processing seismic data using machine learning Designing, parameterising and training neural
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generated through simulation. The IFF conducts research in the areas of artificial intelligence (AI) and machine learning (ML) for cognitive production systems. The focus is on hybrid learning methods, i.e
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of a low-field MRI setup Machine learning-based control and data acquisition Development of software for reconstruction with a focus on AI-based algorithms What you bring to the table Above average
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in the automotive domain, and machine-to-cloud software stacks to monitor assets, drive machinery, and optimize production processes. In the current project, we would like to develop self-adaptive
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Research/student assistant (m/f/d)-Developm. of a tool to monitor and analysis robot software system
platform, a technology test bed as well as a product by one of our spin-off companies. Other examples include reconfigurable production lines in the automotive domain, and machine-to-cloud software stacks