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Field
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order to capture the structure and complexity of relationships between the nodes of networks with a mul-tidimensional nature, tensors are used to represent these kind of networks. For example
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complexes (Robbe and Shi, et al., Genes & Development, 2022; Shi, et al., Circulation Research, 2023; Shi et al., Development, 2024; Shi and Sheng, et al., Developmental Cell, 2021). The long-term goal
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variety of diversity and inclusion networks. Staff can apply for flexible working to help them balance the demands of their professional and personal commitments and we offer comprehensive leave policies
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are seeking two Postdoctoral Research Associates to join the Australian Centre for Robotics and the Net Zero Institute at the University of Sydney, Australia. The successful applicants will work at Sydney with
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, with a particular emphasis on chromatin remodeling complexes (Robbe and Shi, et al., Genes & Development, 2022; Shi, et al., Circulation Research, 2023; Shi et al., Development, 2024; Shi and Sheng, et
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-specific networks driving the cellular responses. Given the complexity and dynamic state of signaling networks, the current understanding of their constituents and how they are spatiotemporally regulated in
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About the Opportunity SUMMARY The Network Science Institute (NetSI) is hiring one Postdoctoral Research Associate to join the newly formed Complexity & Society Lab (the “&-Lab”). The &-Lab is an
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machine learning methods, including symbolic regression and neural networks. You will apply the algorithms to the discovery of new models in different fields, including robotic control, fluid mechanics and
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of mathematical analysis and complex systems, focusing on cutting-edge problems in the dynamics of strongly interacting systems. The role is ideally suited for researchers with expertise in one or more of the
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machine learning methods, including symbolic regression and neural networks. You will apply the algorithms to the discovery of new models in different fields, including robotic control, fluid mechanics and