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TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally oriented
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an international, dynamic team and an “open-door” atmosphere with access to state-of-the-art computational resources. We offer an international and multi-disciplinary environment with strong expertise in
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groups focusing on various aspects of gene regulatory mechanisms controlling cellular identity, differentiation and metabolism. The research unit constitutes an international, ambitious, highly dynamic
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provide a dynamic environment which empowers excellence with state-of-the-art technologies, cutting edge infrastructure, and a global scientific network. Contribute your knowledge, vision, and dedication
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techniques for human-to-LLM reasoning transfer and interactive training methodologies to enhance detection robustness. Leader board development and validation: you will design and implement a dynamic
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provide a dynamic environment which empowers excellence with state-of-the-art technologies, cutting edge infrastructure, and a global scientific network. Contribute your knowledge, vision, and dedication
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PhD fellowship at the Copenhagen Center for Glycocalyx Research at the Department of Cellular and Mo
vibrant, interdisciplinary research environment and work on projects centered around: Apply cutting-edge mass spectrometry–based proteomics to uncover dynamic protein changes and post-translational
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/actuator integration, and implement control. (PhD#3) Digital Twins (DT). Development of a sophisticated DT as a dynamic representation of the field, modeling crop growth, canopy architecture, and competition
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a personal atmosphere. Staff coming from 90 countries. Member of the "University of the Greater Region" (UniGR) A modern and dynamic university. High-quality equipment. Close ties to the business
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in mechanobiology and translational cardiovascular research would be advantageous WE OFFER: Dynamic and collaborative research team of experienced and early-career scientists Embedded in a network of