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: graph neural networks, natural language processing, algorithmic learning, fault-tolerance, blockchains, consensus, cryptocurrencies, digital money, central bank digital currency, decentralized finance
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learning, distributed systems, and theory of networks. Within these three areas, we are currently working on several projects: graph neural networks, natural language processing, algorithmic learning, fault
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. The project aims to investigate generative design algorithms to automate the design process of electromagnetic induction components by using AM technologies and combine it with advanced computational tools. A
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synthetic aperture radar (SAR) remote sensing starting in spring 2025. Job description You will join an innovative, highly motivated international research team to investigate advanced SAR imaging algorithms
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to cutting-edge tools, algorithms, and large, high-quality seismic datasets. Occasional fieldwork to acquire data from temporary networks, providing you with hands-on experience in the field. A competitive
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» to study inherited genetic variation and the molecular-genetic underpinnings of complex traits and dieseases. Whole-genome sequencing and dense phenotyping data are availble for tens of thousands
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can sensor data be transformed into intuitive and reliable input methods for text entry in MR? What novel algorithms or techniques can enhance sensor-driven interaction for various user scenarios? How
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communication and ranging algorithms. Contribute to system-level performance optimization and experimental validation. Implement basic feedback control for robotics tasks. Profile Your background should be in
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lifetime imaging to investigate cell signaling and metabolism. Job description The position focuses on the development of chemigenetic tools that combine synthetic fluorophores with genetically encodable
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NRP84. The project draws from a planetary health ethics approach to investigate ethical and social aspects related to the social and political (non-)acceptance of genetically modified food. It has