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. Incorporation of these species into polymer matrices to produce photoluminescent materials. Characterization of such materials and molecular species by nuclear magnetic resonance, infrared spectroscopy, and
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Polymers using a combination of quantum and force field-based simulations that will be further integrated into a force field-based Molecular Dynamics (MD) approaches to assess the permeability and
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to boost its quality-oriented research environment in the metropolitan area of Marrakech. About MSN department: The Department of Materials Science, Energy, and nano-Engineering (MSN) at Mohammed VI
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RDKit. The following experience will strengthen your application: Knowledge in deep generative models, AI/ML, polymers, and/or materials science. A documented track record of research in the area of
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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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3 Nov 2025 Job Information Organisation/Company Centre of Polymer and Carbon Materials Polish Academy of Sciences Department Laboratory of Carbon i Polymer Carbon Materials Research Field Chemistry
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very well the modern methods of preparation of polymer materials, methods of characterization and study, has interdisciplinary knowledge in advanced applications of polymer materials and can use this
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; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching. UAE Nationals are encouraged to apply. Where to apply Website https
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separation methods, Excellent communication skills, both oral and written. Fluency in English is a must. Candidate Criteria: Ph.D. in Materials Engineering, Polymer Chemistry, Chemistry, Electrochemistry
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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