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training environment to develop future urban leaders and to identify innovative solutions to complex urban challenges. CUS focuses on four pillars: research, education, expertise, and innovation, all aimed
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adaptive decision infrastructure for complex cyberphysical human systems, enabled by agentic and embodied AI. Working under the supervision of Dr Neda Mohammadi , the successful candidate will contribute
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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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analysing large and complex datasets, including multi-omics and perturbation-response data, with a strong emphasis on data quality, reproducibility, and biological interpretability. Practical experience in
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curious to deliver work that matters, your journey starts here! Innovation. Interdisciplinary collaboration. Complex problem solving. In Carnegie Mellon University’s Department of Mechanical Engineering
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, collaborating with researchers, policymakers, industry partners, and farmers who all work on translating complex data and modelling results into actionable insights. Key responsibilities Develop and apply
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. We invite scientists from both within and beyond these fields to join us in developing new approaches to unravel the complexity of organism-wide physiology and behavior. For this post, in particular
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. We invite scientists from both within and beyond these fields to join us in developing new approaches to unravel the complexity of organism-wide physiology and behavior. For this post, in particular
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growth. About You You are a technically accomplished and self-motivated scientist who thrives at the interface of molecular neuroscience and integrative physiology. You are energised by complex, multi
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. We have already demonstrated an alteration in the mitochondrial-associated membrane (MAM) complex and impaired mitochondrial import of nuclear-encoded proteins in two cell models of TS, including