Sort by
Refine Your Search
-
Listed
-
Program
-
Field
-
. In current research projects at Fraunhofer IPA, modern machine learning methods are being used in applications for industry 4.0. You will learn about the possibilities and limits of industrial image
-
of machine learning is an advantage fluent English proficiency What you can expect We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender
-
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 to monitor assets, drive
-
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
-
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
-
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
-
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
-
engineering, software design, software engineering, computer engineering, technology management, industrial engineering or comparable. In dosing technology, various components, such as those needed
-
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
-
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