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furnace infeed. The research will focus on modelling how key scrap characteristics - such as size, shape, density, and material heterogeneity - interact with scrap handling and transport systems
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electrolysis have made large advances in terms of geometric surface area, current density and selectivity towards valuable products such as C2H4. To reach successful commercial deployment of CO2 to C2H4, we need
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intelligence modelling ability (e.g. statistical machine learning, deep learning, generative AI, large language models, etc.) Familiarity with plastics recycling value chain (sorting, density separation
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balance of properties and low density, achieved through alloying additions such as Zn, Mg, and Cu along with carefully processing. One issue is that under some conditions, these alloys can become
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with plastics recycling value chain (sorting, density separation, mechanical extrusion, etc.). Willing to carry out and analyse laboratory (e.g. Raman, FTIR, LC-MS) and industrial trials. Strong
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controlling electrochemical interfaces across scales. Computational PhD position: You will develop an AI-enhanced multiscale modelling framework combining density functional theory, ab initio molecular dynamics
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phonon eigenvalues and transport properties using computational methods (density-functional theory, molecular dynamics, and finite-element simulation). It predicts the intrinsic phononic features
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simulation techniques, including density functional theory (DFT), molecular dynamics, Monte Carlo methods, and free‑energy perturbation calculations. Develop and implement novel computational methodologies and
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densities throughout Germany. Four higher education institutions with altogether 40,000 students provide a unique university-town atmosphere. The city offers plenty of leisure options for students, such as
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Federal States. University location With around 94,000 inhabitants, Giessen has one of the highest student densities throughout Germany. Four higher education institutions with altogether 40,000 students