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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
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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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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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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, - synthesis
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patients and animal models with Col4a1 mutations to investigate the disease mechanisms of these mutations and determine how cells respond to these mutations. The identified pathways will then be modified in
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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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bacterioplankton in carbon cycling. Focus will be on deciphering the genetic basis for utilization of monomers and polymers of important dissolved organic matter compound classes (e.g. carbohydrates and proteins
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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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Scanning Calorimetry (DSC), High-Performance Liquid Chromatography (HPLC), and related techniques. Demonstrated ability to prepare, process, and analyze polymer samples. Familiarity with experimental design