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semesters Beginning Winter semester Application deadline Please visit https://www.uni-muenster.de/Baccara/application/index.html . Tuition fees per semester in EUR None Combined Master's degree / PhD
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on comprehensive rheological characterisation, including the determination of viscoelastic properties through appropriate testing and modelling; Support in polymer characterisation using techniques such as (not
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is to validate original theoretical models of contact mechanics that take into account the effects of surface tension, adhesion, and viscoelasticity on nanoindentation measurements. These measurements
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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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Engineering of Catalysts for Hydrofunctionalization Reactions: From Selectivity Control to a Predictive Model” project financed from the funds of Priority 2 of the European Funds for a Modern Economy Program
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Nanooptics group (www.mpjonsson.com ), headed by Prof. Magnus Jonsson. Recent interests of the group include dynamic conducting polymer nanooptics, structural coloration and cellulose-based optics. Examples
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roughness, AM roughness is characterized by randomness, porosity, and powder adhesion, producing flow behaviors that existing correlations and turbulence models fail to predict. Understanding and modeling
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News https://cms.unimelb.edu.au/central-site-management/content-templates/news-listing/v4-assets-dynamic-loading/v4-list-parent-id-new?rootnode=5258462&template=block-listing&numAssets=12&readMore=false
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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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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