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candidates will have strong past experience in scientific machine learning. Experiences in large language models, molecular modeling and simulations, and/or polymer science are preferred but not required
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Systems offers a chance to enhance simulation capabilities in uPVC compound blending operations. You will implement Discrete Element Method (DEM) simulations to optimise processes, targeting annual savings
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Overview We are looking for a postdoctoral research associate, to work on a project titled “Understanding the Role of Self-Poisoning in Polymer Crystallisation” funded by Leverhulme Trust. Recent
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methods, including spectroscopic studies of the polymer composition and morphology of microplastics. Statistical analysis and risk assessment methodologies will be applied to the obtained quantitative data
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projects are carried out aiming to activate the surface of the textile materials and to initiate therein chemical changes by using low-pressure non-polymer gas plasma treatment. The incorporation of micro
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off-axis (annular dark field). Both methods can yield atomically resolved images of crystals in projection, however, many materials such as organic crystals, minerals, hydrides or polymers are so beam
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of Thermodynamics, Mechanical Engineering and Energy, in the scientific field of technical sciences, scientific field of chemical engineering – 1 employee (m/f) 2. in the Department of Polymer Engineering and Organic
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future of formulated polymers. We are seeking a Research Fellow in Computational Chemistry and AI/Machine Learning to advance the state of the art in understanding the degradation and biodegradation
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and corresponding highly resolved numerical simulations have shown that this vorticity field in the fluid arises due to the misalignment of the density and pressure gradients at the liquid-air interface
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supervisor, and copy the link to this scholarship website into question 2 of the financial details section. About the scholarship This project aims to mitigate the impact of vehicular collisions on roadside