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digital twin during production to consulting and prototype production. Be part of change Develop and implement machine learning algorithms to model and analyze dynamic phenomena in milling processes Explore
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with python programming, image processing, agent-based systems Ideally, good communication skills in both German and English You are enthusiastic about learning new practical skills, approach unfamiliar
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Future. Discover. Together. The Computer Vision & Graphics group of the Vision & Imaging Technologies (VIT) department is looking for a student assistant in the area of deep learning for scene
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, computer vision and image processing Responsible independent worker Proficient English skills The working time consists of 10-20 hours per week. The position is initially limited to three months
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medical datasets, particularly images and texts, as well as tabular and higher-dimensional data Testing, implementation, and benchmarking of new research methods Development of machine learning approaches
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engineering or deep learning. You have strong Python programming skills and comprehensive knowledge of deep learning frameworks, such as PyTorch or TensorFlow, as well as computer vision. Knowledge of natural
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Strong knowledge in mathematics and linear algebra Proficient English skills Precise, responsible, independent working style Experience in Computer Vision Experience in nonlinear Optimization Experience in
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for reinforcement for our team (Computational Imaging Research Group) that creates novel imaging systems with unprecedented capabilities. Be part of change Literature review on state-of-the-art machine learning
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of change Engage in the research, and test the latest machine learning algorithms Analysing, preprocessing, and visualizing different data types (texts, images,etc.) Review latest literature and data
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial