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high-value polymers from complex waste streams such as multilayer packaging and mixed plastic waste, leading to large volumes being incinerated or landfilled. Solvent based recycling offers a promising
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in analysing and interpreting complex genomic data, integrating computational and experimental findings to advance our understanding of gene function in the developing brain and support the development
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 4 hours ago
systems, the lab investigates how astrocytes acquire their complex morphology, how astrocyte-neuron interactions are regulated during development, and how astrocyte dysfunction impacts neural circuit
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complexes under stress, the molecular mechanisms underlying mitochondrial permeability transition, and the signaling pathways that regulate mitochondrial dysfunction. The laboratory employs
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forming fundamental challenges. Physics-based models are too complex, while pure data driven models lack explainability, ultimately reducing the robustness. The proposed solution is the development of a
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research in the natural, mathematical and computer sciences with a focus on the processing, structuring, and analyzing of large amounts of complex data and the development of computational methods and
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activities with strategic priorities. Translate complex findings into clear and actionable recommendations for policymakers, funders, providers, community partners, and other audiences. Conduct background
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such challenge is to improve complex traits such as crop tolerance to dynamic environmental conditions in the current era of global climate change and how to best incorporate this in plant breeding strategies
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the binder uniformly at grain contacts in order to create cohesive binder bridges. The postdoctoral project is part of the BONDINGFOAM ANR project, which investigates complex foams—liquids containing a binding
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function based on a coupled NEMS network, consisting of 2 or more double-drum resonators. This is beyond current state of art and relies on deep understand of more degrees of nonlinear complexity