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The junior group in Imaging AI develops applied AI research focused on biomedical signal analysis and medical image computing. The general aim of the group is translating bleeding edge algorithms from fundamental AI and imaging research closer to a concrete biomedical application. We are looking...
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degree in computer science or related discipline Strong interest in applied machine learning, including but not limited to deep learning Strong interest in image analysis / computer vision and pattern
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seek a highly motivated bioinformatician or biostatistician who is well versed in the statistical and machine learning analysis of biomedical data and bioscientific programming for a project on the study
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may help to mitigate and prepare for such space weather events. Recently, the use of machine learning for improved space weather forecasting has gained in importance. The Luxembourg-based company
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sampling, metaheuristics, simulations, prediction models (machine learning). The results of the project are expected to apply to multiple use cases across different domains, e.g., automotive systems, space
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Experience with classical and modern Computer Vision Familiarity with robotic simulation software: Gazebo, Omniverse Language Skills: Fluent written and verbal communication skills in English are required
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an advantage Commitment, team working, a critical mind, and motivation are skills that are more than welcome Optional: knowledge of machine learning, metaheuristics, statistics, and text analysis
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, metaheuristics, simulations, prediction models (machine learning). The results of the project are expected to apply to multiple use cases across different domains, e.g., automotive systems, space systems, smart
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for such space weather events. Recently, the use of machine learning for improved space weather forecasting has gained in importance. The Luxembourg-based company Mission Space and SnT, University
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sensors, accelerometers), and computer science (machine learning tools, optimization). The aim of this Ph.D. project is to improve our understanding of structural behavior, degradation mechanisms, and