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. Mentorship from experts in both atmospheric modeling, meteorology and machine learning. Access to a collaborative platform linking Fraunhofer IBP in Germany and Concordia University in Canada. The weekly
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failure modes of electrical machines and their effects on vibration behavior are simulated. To this end, you will first adapt existing finite element models (FE) to represent mechanical faults. You will
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In this thesis you will work in the European Space Agency (ESA)-funded project Fast-EO (Fostering Advances in Foundation Models via Unsupervised and Self-Supervised Learning for Downstream Tasks in
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project “Analytics for Learning with Machines” (ALMA) The position is TV-L E13, 75%, limited to 3 years, funded by the Deutsche Forschungsgemeinschaft (DFG). The project is a Franco-German collaboration
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29.06.2026, Professuren The Technical University of Munich (TUM) invites applications for the position of Tenure Track Assistant Professor in » Implantable Brain-Computer Interfaces « to begin as
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existing technologies, right through to the tested prototype. The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning and computer vision. The main focus is
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and manufacturing technologies for the manufacture of innovative products. We develop new machines and processing strategies on behalf of customers, optimize existing production systems and implement
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In manufacturing, a wide variety of use cases exist where Deep Learning (DL) and Machine Learning (ML) are successfully applied. Examples of use cases include the production of rockets, stem cells
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28.05.2025, Academic staff We are looking for talented and ambitious scientists interested in unique interdisciplinary research, integrating machine learning, molecular simulations, statistical
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-friendly frameworks for multimodal elastography and enabling deployment on portable devices (e.g., smartphones) for real-time diagnostics. The research combines continuum mechanics, machine learning