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Field
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focuses on developing cutting-edge statistical/machine learning methods for fitting complex, multi-institutional network models to partially observed hospital infection data. This research will directly
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-hazard risk and recovery framework and open-source tools to quantify and manage combined earthquake and flood impacts on urban buildings, transport networks and community recovery. The Research Fellow will
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to understand and predict how technologies evolve — from artificial intelligence to net-zero innovations in energy, transport, and carbon capture. By building a global database on technological progress, we seek
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, and social networks, cluster within families, and how they, in combination with molecular profiles, relate to the physical living environment, health outcomes, and lifespan. This knowledge will then be
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: Background in signal processing, network science, or statistical physics applied to time series and/or complex systems analysis. Familiarity with PNT data, spatiotemporal datasets, or related domains
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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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. The work will use microorganisms as a starting base, as these are biologically relevant, yet complex and challenging to resolve spatially, provide an ideal benchmark for the method’s performance
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the study of the development of singularities, the long-time behavior of complex systems, the formation of spatial patterns, the transition between stability and instability, and the first steps of transition
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relevant, yet complex and challenging to resolve spatially, provide an ideal benchmark for the method’s performance. Microorganisms such as bacteria, furthermore, play important roles in all types of niches
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Postdoctoral Researcher in Synthetic Organic Chemistry and Photochemistry, IBMM, Montpellier, France
tissues. 3D printing technologies have boosted progress in the field by enabling the fabrication of complex engineered tissues. Nevertheless, printed scaffolds cannot faithfully recapitulate the spatial