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recent introductions of exotic species into France via migratory birds highlight the risk of pathogen emergence and the restructuring of infectious networks. This PhD project aims to characterize
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investigate deep learning architectures capable of learning microstructure-property mappings, including convolutional neural networks for microstructure image analysis, graph-based representations
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and problem-solving of e-resource product access issues Assists with data-gathering and analysis for resource renewals and new subscriptions. Assists the supervisor on projects (electronic packages
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updates. Manage and monitor backup systems. Provide user support for networking, applications, scientific equipment, printers and other peripherals . Provide analysis, design, planning and implementation
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selection criteria Knowledge of quantum communication / quantum information fundamentals (e.g., entanglement, fidelity/noise, quantum repeaters) Experience with network modelling, performance analysis
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related to social network analysis. For the project information and job inquiries, please contact the Principal Investigator: Dr. Zhou Jiajia at email: jiajia_zhou@hkbu.edu.hk . The initial appointment will
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applications for fully-funded postdoctoral research associate positions. SITE is highly interdisciplinary and aims to develop novel enabling technology on hydrodynamic stability analysis that has applications in
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will work in a stimulating context with leading expertise and broad networks in experimental methods, behavioral decision-making, sustainability accounting, and financial and risk analysis. The research
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Related works: [1] Sagawa et al., Distributionally Robust Neural Networks for Group Shifts (GroupDRO) https://arxiv.org/pdf/1911.08731 [2] Liu et al., Just Train Twice: Improving Group Robustness Without
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-correlated environmental noise. 2. Simulation of the dynamics of a regional community of 3 species belonging to two or three trophic levels, considering different types of spatial networks, in the presence