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Field
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qualities You have a PhD in a computational field such as Artificial Intelligence, Computer Science or Software Engineering for Artificial Intelligence. You have a strong technical background in
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funded by the German federal government and 10 percent by the state of Berlin. A fully funded computational postdoctoral position is available in the Spatial Proteomics research group headed by Dr. Fabian
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literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel, Access, and PowerPoint. Working knowledge of bioinformatics and hands-on experience with next
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the project based on your interests and in collaboration with a leading architectural firm. The candidate is expected to publish in leading Human-Computer Interaction venues. Your competencies You hold a PhD
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by The Kempe Foundations. Project description Machine learning and artificial intelligence have had a major impact on medical image analysis in recent years. While CT and MRI provide highly
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• US or EU patents in the field of machine learning / computer vision We Offer • Remuneration according to TV-L E14 (100%) • Fixed-term position for the project duration (48 months) • Central role in a
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advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities such as CT, MRI, X-ray, and ultrasound. Research areas include image segmentation, detection
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to imagine novel task configurations and learn robust manipulation policies from just a few real demonstrations. You will work at the intersection of 3D computer vision, physical simulation, and robot learning
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Do you want to be part of a young, dynamic research group working on designing the next generation of sustainable energy materials using computational chemistry and machine learning? And do you see
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data science, and/or public health or related fields including health services research, health informatics, computer scienceExperience in data analysis using statistical software & machine learning (e.g