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, novel technological devices, or structured media with properties beyond those found in nature. To achieve this, we combine theoretical, methodological, and computational techniques, frequently
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international projects. Project description The three positions concern: Position 1: Emission Cuts in Building and Construction - Analysis of emission reduction opportunities within the value chains
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a postdoctoral researcher to contribute to our pioneering research focused on resilient future housing design, exploring new buildings and the transformation of existing structures. Collaborating with
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perform 1st principles atomistic electronic structure calculations by means of Density Functional Theory on the Swedish National Infrastructure for Computing, SNIC. These calculations will include
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involves engineering the chemical modification and structural characterization (e.g., molecular weight and chemical functional groups) of lignin. The utilization of quantitative structure-property
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guided vehicles (particularly self-driving cars), image-based localization, structure-from-motion, and object recognition. The main research problems include mathematical theory, algorithms, and machine
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for analysis, support, and diagnostics, as well as general computer vision applications including autonomously guided vehicles (particularly self-driving cars), image-based localization, structure-from-motion
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future housing design, exploring new buildings and the transformation of existing structures. Collaborating with a team of senior researchers, another post-doc, and doctoral students, you will contribute
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the structural, electronic (and photoluminescent), and dynamical properties of the 2D HOIPs, to compare with the experiments. In particular, machine learning force field (MLFF) will be exploited to study finite
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structures for energy harvesting and storage applications. The hired PhD student is encouraged to, and will have the possibility, to also bring in his/her own research ideas into the work. The work will take