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the doctoral project and the subject area (e.g. engineering or theoretical physics, wave propagation, engineering acoustics, programming, modelling, bioacoustics, computational methods, electronics
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operating conditions, is difficult to access experimentally and lies beyond the reach of standard simulation methods. This PhD topic falls within the area of computational materials science and will
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, Computational materials science, Organic or hybrid materials for energy applications. Great emphasis will be placed on personal qualities and suitability for the position. We are looking for a candidate with
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, integration of batteries with power electronics, and safe energy storage. On the educational side, the number of students in several of the Master programs is being increased, and the course
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-bandgap-key-future-green-electronics, https://c3nit.se/ Subject description The purpose of this project is to develop a data-driven approach for optimizing the growth of semiconductor materials by
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is an emerging research field that uses machine learning, data analysis and computational modelling to guide the discovery, characterization and optimization of new materials. By accelerating