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Safe Intelligence - this forms the core brand of the Fraunhofer Institute for Cognitive Systems IKS. Connected cognitive systems drive innovation in many sectors, including mobility, healthcare, and automation in industry. Disruptive technologies such as artificial intelligence and quantum...
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vision Experience in python programming and deep learning frameworks Optional but nice to have experience with object detection Optional but nice to have experience with transformer models Interest in self
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of machine learning models on large high performance computing infrastructure A strong understanding of and practical experience with Deep Neural Networks for image- and time series data A strong understanding
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, especially Deep Learning, LLM, and multi-modal ML Experience with different data types, e.g., time series, images, or texts in the ML context Experience and confidence in using Linux (Ubuntu) and Git in
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for lithium-ion battery cells and fuel cells. Within the scope of your thesis, you will investigate deep learning-based defect detection approaches. To this end, we use roll-to-roll processes for the efficient
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of research and innovation! What you will do Develop and test new deep learning architectures Analyze and preprocess different data types, mostly climate-, weather- and geo-data Conduct and document Deep
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clean and tidy code Affinity for technologies Conscientiousness in implementing, testing and documenting algorithms Curiosity about a deeper understanding of Deep Learning architectures Interest in
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innovation! What you will do Research and development of innovative algorithms, methods and systems in the field of 3D video processing and computer vision with application in AR/VR Research on novel deep
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The Fraunhofer Institute for Digital Media Technology IDMT is part of the Fraunhofer-Gesellschaft. Headquartered in Ilmenau, Germany, the institute is internationally recognized for its expertise in
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to develop and implement algorithms and network designs (deep learning). These should enable our robots to efficiently and accurately detect and interpret their environment based on sensor data such as LiDAR