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. The tasks will require a high degree of innovativeness, command of multi-scale asphalt and binder testing methods, as well as knowledge of the pavement design concepts. Experience in material modeling and
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pneumoniae and Acinetobacter baumannii. You will be working in a trans-national research consortium including experts in structure-based modelling, structure biology and chemistry. PhD in Molecular Biology
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conventional methods. By combining advanced experiments with collaborations in theory and modeling, our research aims not only to deepen the fundamental understanding of ferroic systems, but also to open new
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the technical implementation, the candidate will contribute to the development of regulatory frameworks, business models, and social analyses that enable broader adoption of community PV. This interdisciplinary
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closely with our theory collaborators to model and explain the observed results.
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responsibilities may include: Development or analysis of novel Machine Learning algorithms for engineering design applications, such as Inverse Design, Surrogate Modeling, or generative modeling. Collaborating with
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plasma models (such as magnetized Vlasov–Poisson and Vlasov–Maxwell systems). - The position includes teaching responsibilities, such as organising a course and assisting with exam grading
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-PDF), data analysis and modelling for partially crystalline material systems Developing lab-based X-ray multimodalities: X-ray diffraction & imaging presentation of scientific results through
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favorable switching dynamics. To achieve this, we are combining the complementary expertise of three academic research teams: 1) high-level modelling and design of high-performance tautomeric switches (Prof
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cryo-EM workflow (sample/grid preparation, data acquisition, data processing, model building and interpretation). The writing of scientific papers and active participation in internal meetings and in