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HAICu project to help unlock the potential of cultural digital archives through multimodal use, providing richer context and a more comprehensive analysis of current complex issues in society. If
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discussion within and across different fields of research a work environment with close working relationships, networking and social activities a workplace characterised by professionalism, equality and a
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 23 days ago
childcare matters. A broad network for career development and training through the Max Planck Society. Your application Please submit your complete application via our online system by 15 September 2026
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Peatland Responses Under Changing Environments) experiment and other DOE-supported observational networks. Major Duties/Responsibilities: Develop, implement, and test new and improved process representations
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following criteria: A PhD or equivalent degree, already obtained, in a related field e.g., philosophy, law, computer science, social sciences, public policy, or a relevant interdisciplinary area. Interest in
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Peatland Responses Under Changing Environments) experiment and other DOE-supported observational networks. Major Duties/Responsibilities: Develop, implement, and test new and improved process representations
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Intensive Social Sciences Center and the Yale Center for Research Computing will be leveraged to ensure access to a broad and deep internal network. By the end of this appointment, the post-doctoral associate
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optimize hardware neural networks made of approximately one hundred magnetic tunnel junctions, with radio-frequency inputs, in order to classify RF signals directly in the physical domain. Chains of magnetic
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sciences to enable quantum computers, devices, and networked systems. It develops community applications, data assets, and technologies and provides assurance to build knowledge and impact in novel, crosscut
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networks). • Compare different strategies (topology, tensor order…) to seek for an optimally compressed representation of turbulent velocity fields and of relevant operators in tensor network form. • Perform