19 postdoctoral-position-in-polymer-molecular-simulation Postdoctoral positions at Chalmers University of Technology in Sweden
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simulations to experiments in subatomic physics. The Plasma Theory group within the Division conducts research on acceleration and radiation generation in magnetic fusion, laser-produced and astrophysical
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Join us to pioneer next-generation generative models that accelerate molecular dynamics. We seek a postdoctoral researcher to develop AI surrogates for molecular dynamics (MD), slashing
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This position focuses on research related to the full recycling cycle of sodium-ion batteries. The work includes developing processes for the recovery of valuable elements, carrying out
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. This unique position combines advanced finite element modeling, machine learning, and experimental studies, while offering the opportunity to contribute to open-source libraries and collaborate directly with an
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of Technology to pioneer the next generation of biorefineries using marine and terrestrial biomass. This postdoctoral position offers the opportunity to develop innovative green processes for transforming
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the orientation of various types of nanoparticles within both thermoset and thermoplastic polymer matrices. This position entails close collaboration with industrial partners to implement the alignment technique
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Are you eager to work at the forefront of quantum technology and contribute to one of Sweden’s most ambitious research initiatives? We are looking for a postdoctoral researcher to join our team
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Are you passionate about amyloid proteins and curious to understand the underpinnings of Alzheimer's disease? This postdoc position is a chance to join the Esbjörner Lab, a crossdisciplinary group
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position offers unique opportunities to develop your skills and knowledge while making a difference for the future by contributing to the sustainable development involving a technology for manufacture of
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position is embedded in a vibrant research environment that includes several PhD students and postdoctoral researchers. The project is a close collaboration between the Computer Vision Group at Chalmers