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biophysics/chemistry/physics and related fields Experience with Molecular Dynamics using coarse grained or atomistic models Advantage is experience with simulations of disordered proteins/polymers and
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: 10.1038/s41467-023-39181-2 Research area: Computational biophysics, drug delivery, protein design Keywords:Computer simulations, coarse-grained model, molecular dynamics, membrane fusion, fusion protein
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Model. Int. J. Hydrog. Energy 2014, 39 (9), 4516–4530. https://doi.org/10.1016/j.ijhydene.2014.01.036. ; [3] Carral, C.; Mele, P. Modeling the Original and Cyclic Compression Behavior of Non-Woven
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electrochemically in Li-ion batteries. The complexing polymers will be regenerated for a new extraction cycle. This project contributes to the circular economy of critical metals. Where to apply Website https
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appointment in Pullman, WA, with a specialty in the in the areas of nanomedicine, targeted drug delivery, and polymer/dendrimer chemistry. The Sharma lab is developing rationally designed, smart, clinically
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of the Italian language; PhD in Materials Engineering or equivalent qualification demonstrating proven experience in: advanced mechanical characterization of polymers and composite materials, with particular
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exploit mathematical approaches, tools, and technologies at the interface with chemistry on one of the following themes: - modeling of quantum effects to gain a detailed understanding of chemical reactivity
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strengths in advanced manufacturing, materials and polymers, energy and sustainability, robotics and automation, and AI-enabled engineering design. Our faculty are particularly encouraged to pursue
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, are needed. Specific expertise can focus on modelling of e.g., polymer, biomolecular systems, or colloidal systems. We work at both atomistic and coarse-grained modelling levels and appreciate multiscale
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
Materials Research Center (SusMat-RC) at UM6P. The successful candidate will work on an exciting project focused on extracting and analyzing experimental and computational data to develop predictive models