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Field
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by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Determine the conditions for wrinkle formation during the drying of polymer solutions and
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into polymer matrices. - Use of luminescent species for applications such as sensors. - Knowledge of DFT‑type simulation methods for modeling molecular properties. - Experience writing scientific articles and
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selectivity and permeability and ultrahigh water permeability combined with high salt rejection. The objective of this work is to construct atomistic models of MOFs/Polymers and Artificial Water-Channel
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information can be found via https://www.maastrichtuniversity.nl/research/institutes/amibm/research/ Research group Sustainable Polymer Synthesis Main research focus is on the design and synthesis
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understanding of WS/DP adsorption to solid–water interfaces, including soils, sediments, sludge, and model mineral/organic surfaces. Experimental studies will investigate polymer–surface interactions, adsorption
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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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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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, 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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biophysics, ideally on (bio)polymer systems. A well-developed ability and motivation for interdisciplinary work combining theoretical modeling with experimental results. Teaching skills. Additional assessment
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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