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-transpositions (plastys) and suture practices for surgical procedures. The specific PhD-project aims at developing efficient hyper elastic-based topology optimization algorithms that take into account skin
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biased, outdated, or sensitive data? That's where the project TRAI comes in. This research project aims to develop machine unlearning algorithms to selectively erase specific knowledge from trained AI
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Job Description Postdoc position in Innovation and Artificial Intelligence The Algorithms, Data and Democracy project (ADD) and Center for Organizational Datafication and its Ethics in Society
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, monocular depth estimation, and reinforcement learning. You will develop innovative algorithms that empower aerial robots to actively explore unknown, unstructured, and GNSS-denied environments while
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care. While these tools promise to augment medical expertise, their integration into clinical practice poses fundamental challenges that relate to differences between expert knowledge and algorithmic
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implementing inversion algorithms, including a focus on the integration of spatially constrained regularization schemes. Collaborating with forward modeling experts to ensure seamless integration with a recently
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of machine learning theory, algorithms and computation or in AI applications in e.g., the social, neuro, or natural sciences, are encouraged to apply. The position comes with a start package funded by
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of Europe’s ‘green transition’ to clean energy. You will work on cutting-edge research tasks, with objectives including • new algorithms and strategies to improve autonomous Airborne Wind Energy (AWE) operation
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implementing inversion algorithms, including a focus on the integration of spatially constrained regularization schemes. Collaborating with forward modeling experts to ensure seamless integration with a recently
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analyzing complex biological data, developing innovative algorithms, and contributing to groundbreaking research projects in the department. You will contribute to strengthening our capabilities in the fields