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modeling (FEM), and thermodynamic/kinetic simulations using tools such as Thermo-Calc and CALPHAD first experience in applying artificial intelligence and machine learning techniques to Materials Science
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About us: The University of Technology Nuremberg (UTN), founded in 2021, is a living laboratory for the university of the future – ready for the age of artificial intelligence and constant
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As part of the German government's artificial intelligence (AI) strategy, the successful Saxon competence center ScaDS.AI Dresden/Leipzig (Center for Scalable Data Analytics and Artificial
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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | 12 days ago
are the collaboration with industry partners producing products with magnetic components, the integration of artificial intelligence (AI) for optimising simulation and experimental data, and the creation of open-source
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, outstanding infrastructure and a high level of administrative support. The successful candidate will lead novel and innovative research in the broader field of Biological Artificial Intelligence. Areas
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, Artificial Intelligence, Software Engineering, Cognitive Science, or related disciplines) is required. How to Apply Documents to be submitted: Applicants must submit the following documents in English
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automation in industry. Disruptive technologies such as artificial intelligence and quantum computing play a key role here. Fraunhofer IKS is conducting research to ensure that these applications are reliable
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, we are further developing the resistance spot welding (RSW) process with an industrial focus. We are developing new methods and investigating the application potential for artificial intelligence
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for real-time operation of AO systems Support experimental efforts by processing and analyzing image- and communications data streams Incorporate artificial intelligence framework into our AO systems and
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for industry. To this end, the latest findings from the fields of artificial intelligence, machine learning and cloud-based methods are combined with proven expert knowledge to answer current questions in robot