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in data integration, model design, and large-scale training by combining multi-modal scientific data, knowledge graphs, physics-aware machine learning, and GPU/HPC computing to develop transparent and
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thousand samples, taking several hours. You will join a team building clocks that will overcome this limitation, effectively interrogating the atomic sample continuously. This enables reaching the ultimate
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, so creativity and initiative are essential. There might be opportunity for travel, so the candidate should be willing to travel. You also possess: A completed PhD in public health, public policy
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-relevant research environment. You have: A PhD (or a nearly completed PhD) in strategy, economics, innovation studies, political economy, public policy or a closely related field. Demonstrated experience
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Bilevel programming (BP) is a powerful mathematical framework for modeling hierarchical decision-making processes involving two players: a leader and a follower. In energy network design, for example
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remains poorly understood how such systems learn and what signatures learning leaves in their physical structure and energy landscape. This project aims to build the theoretical foundations of physical
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enrich our research. We are offering a unique opportunity to submit your own research proposal and, thereby, make your own contribution to our research agenda. What research question will you present? Your
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part of human dignity, autonomy, and well-being. Yet, for persons with disabilities, sexual rights remain one of the most neglected domains in law, policy, care, and technological innovation. Despite
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duties Build a comprehensive DUV Raman spectral library for post-consumer plastics, incl. rare and complex polymers Design and validate deep learning algorithms for real-time classification at high
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with design partner Studio Bertels to translate your findings into public showcases and policy tools. We are looking for a researcher who is comfortable with advanced data analysis and eager to apply