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foundations of ML · Explainability, trustworthiness, and robustness of ML · Deep learning architectures and Generative AI · Big data and cloud-based systems · Human-centered data analytics and data
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Methodological competence: Strong programming skills, ideally including experience in deep learning and/or high-performance computing Passion for method development Very good English communication skills – both
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) department develops innovative deep learning technologies in the area of image and video analysis. The department's competencies cover the entire processing chain, from the collection and analysis of visual
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highly dynamic and innovative research teams, we provide a range of services and applications, from standard workstations to artificial intelligence and deep learning. The digital transformation is a
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., deep learning and statistical modeling). You have knowledge of molecular genetics and genomics. You have a very good command of English (both spoken and written). You have the proven ability to conduct
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Experience in path planning / trajectory planning or traffic optimization is desirable Knowledge of programming languages such as Python and experience with deep learning frameworks (e. g. PyTorch) Passion
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of the robot by developing a point cloud segmentation method based on classical and/or deep learning techniques. You will integrate this segmentation method into the 3D LiDAR SLAM approach and evaluate
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and population genetic research Deep understanding of Evolutionary Biology Experience or interest in learning lab work (e.g. DNA extractions and library preparations) Research experience with genomic
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provide a range of services and applications, from standard workstations to artificial intelligence and deep learning. The digital transformation is a strategic guiding principle for the development
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EUR depending on the family status. Desirable: Fluent English, spoken and written Strong background in statistical physics Previous experience in machine learning, especially deep neural networks