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. The Lindberg lab explores smart chemical and biological toolkits for biofabrication of advanced 3D-models, organoids, and injectable therapies. Ongoing projects aim to advance treatments for musculoskeletal
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
, polymers, hydrogels, and wearable and implantable biosensors. Experienced in applying these materials to three-dimensional (3D) cell culture models and translational diagnostics or similar. Preferred
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) methodologies. The research will focus on Li-ion cells pairing polymer-based redox cathodes with graphite/Si–graphite anodes. It will encompass electrolyte formulation and screening, quantitative interphase
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candidate will work on an exciting project focused on extracting and analyzing experimental and computational data to develop predictive models for polymer-based materials. This project aims to leverage
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of polymers and composites used in civil infrastructure, with an emphasis on understanding and modeling the effects of moisture, temperature, and environmental exposure on material performance and service life
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biomass. The postdoctoral researcher at CERMAV will: • Characterize the topochemistry of the action of these enzyme mimics on model compounds and under real-world conditions. • Develop new functional
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transversal skills : Expertise in polymer processing technologies including 3D printing Skills in microstructural analysis and mechanical modelling Knowledge in plant biology and/or plant biomechanics Internal
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an innovative approach, UM6P places research and innovation at the heart of its educational project as a driving force of a business model. In its research approach, UM6P promotes transdisciplinary
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- or polymer- discovery programs. The postdoctoral researcher will be supervised by Dr.Sankaranarayanan. Interested candidates should submit an application containing a cover letter detailing their
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to develop predictive models for polymer-based materials. This project aims to leverage computational chemistry techniques and data-driven approaches to optimize the properties of novel polymer-based materials