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or Bullet (Required) Practical experience working with Retrieval-Augmented Generation (RAG) and generation pipelines, particularly in the context of Large Language Models (LLMs) Experience with robotic
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of the state of the art regarding localization in feature-poor outdoor environments (specifically Visual SLAM) and place recognition methods, e.g., using foundation models and vision-language models Selection
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therapies Good command of English, as English is partly used as the working language in the laboratory You approach new challenges with curiosity and a solution-oriented mindset, work independently and
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Networks (PINNs), PyTorch, TensorFlow is advantageous Experience with Fortran subroutines, automation scripting for FE software and CAD design (Solidworks, Catia) is advantageous Good language skills in
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field Basic knowledge of analog and digital circuit design Initial practical experience with layout tools (e.g., Altium Designer, KiCad, or similar) Initial experience with the C/C++ programming language
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letter): XAI for Computer Vision (in particular object detection and semantic segmentation models) XAI for Large Language Models (LLMs) XAI for Multi-Agent Systems (MAS) Physics-Informed Neural Networks
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, flow simulations, turbulence research, signal processing, lidar, AI applications, mathematics, and physicsSignificant prior experience using a scripting or programming language—ideally Python Goal
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metrology. Hands-on experience with the design, alignment, calibration, or characterization of optical systems. Ideally, programming skills in Python, LabVIEW, Julia, or a comparable programming language. A
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of working and enjoy interdisciplinary teamwork good language skills in German and/or English We kindly ask you to submit your complete application documents, such as cover letter, curriculum vitae, current
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the field of electrical engineering / information technology or in a related field of study in an independent way of working and enjoy interdisciplinary teamwork good language skills in German and/or English