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data collection and metadata extraction protocols to enhance machine learning-based software applications for materials science. Your Profile: Master’s degree in Engineering, Computer Science, Physics
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to the FAIR-ification of data, establishing systematic data collection and metadata extraction protocols to enhance machine learning-based software applications for materials science. Your Profile: Master’s
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Deutsches Zentrum für Neurodegenerative Erkrankungen e. V. (DZNE) | Bonn, Nordrhein Westfalen | Germany | 4 days ago
on AI, machine learning (ML) and high-dimensional modelling for next-generation biomedicine. Current methodological foci include deep neural networks for causal learning; robust, scientifically
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the benefit of research advances for the patients by way of a close and innovative networking of basic research-oriented and clinical neuroscience. The Project Group “Translational Machine Learning” offers a
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application domains are e.g., signal-/image processing and machine learning. Tasks: scientific research and development in designing and programming fied programmable gate arrays (FPGAs) for accelerating signal
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at the Institute of Human Genetics, in the workgroup "Regulatory Genomics" of Prof. Martin Kircher. The bioinformatics group performs research in the fields of sequence analysis, data mining, machine learning and
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/software co-design and operating/runtime systems. Typical application domains are e.g., signal-/image processing, machine learning and control algorithms for robotics. Tasks: research and development in
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highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from. Apply
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contribute to ground-breaking advancements in AI and entrepreneurship. Strong interest in and knowledge of topics like machine learning, deep learning, etc. and/or human-computer interactions. What do we offer
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talented researchers. The ambition of the project is to serve as a springboard for the expansion of EU partners into the fast-developing Brain-Computer Interface (BCI) technology and connected scientific