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characterize new thin-film materials identified by AI and by physics-based first-principles calculations, with the goal of finding suitable properties for light trapping, i.e., a combination of high refractive
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include: Skills in mathematical modelling and machine learning of relevant physical glacier processes (ice sheet and mountain glaciers), with proficiency in MATLAB/Python/Fortran, and related software tools
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for light trapping in thin-film solar cells .” You will become part of an enthusiastic team working closely with collaborators at DTU Physics and DTU Nanolab to advance neural network-based methods
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them to develop preforms; Draw the multifunctional optical fibers based on modified thermal drawing process of multiple materials (e.g. polymers and metals) with strongly different thermomechanical
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communication skills in English, both written and spoken. As a formal qualification, you must hold a PhD degree in physics, chemistry, materials science, nanoscience or equivalent. We offer DTU is a leading
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, which includes mathematics, computer science, physics, chemistry and biology, provides the foundation for new and innovative technology for the future. Technology for people DTU develops technology for
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tools for production of proteins and peptides using yeast. The project aims to establish a robust and efficient production process for yeast based CFPS extracts through a collaborative effort that
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. The technologies include fuel cells, electrolysis, power-to-x, batteries, and carbon capture. The research is based on strong competences on electrochemistry, atomic scale and multi-physics modelling, autonomous
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the core multiphase reactive algorithm and incorporating accurate thermodynamic models into process simulators. The goal is to deliver robust, high-fidelity software tools for both established and emerging
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capture. The research is based on strong competences on electrochemistry, atomic scale and multi-physics modelling, autonomous materials discovery, materials processing, and structural analyses. We also