196 postdoctoral-position-in-polymer-composites positions at Chalmers University of Technology in Sweden
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and materials science of organic semiconductors, polymer blends and composites, and develops new plastic materials for use in the fields of wearable electronics and energy technology. All research is
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the research project The main focus of the project is the synthesis of conjugated polymers and 2D materials, which will be used for hydrogen evolution reactions possibly in combination with different
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(besides the PhD studies) in academia and industry is a merit. Further merits are expertise in (1) density functional theory (DFT) simulations, (2) electrochemistry, (3) 2D materials, (4) polymer composites
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about the project and the environment The positions are in the brand-new Quantum Photonics Laboratory (QPL). We are scientists, applied physicists, and engineers. We explore the flow of and interactions
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--1-12880 Is the Job related to staff position within a Research Infrastructure? No Offer Description Electrocatalysis will play a pivotal role in the transition from our fossil fuel-based society to a
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electrocatalytic materials for applications in hydrogen fuel cells. Information about the division and the department The position will be located at the department of Chemistry and Chemical Engineering in
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of the position include the design and synthesis of recyclable polymeric electrocatalysts. You will characterize the synthesized polymer electrodes using state-of-the-art chemical analysis tools and develop novel
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--1-12896 Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoc positions in giant atoms for quantum simulation or quantum communication These postdoc
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--1-12892 Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you motivated to support the development of recyclable polymeric electrocatalysts for fuel cells
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--1-12937 Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you driven by the challenge of advancing the boundaries of machine learning and computer vision