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. Personal merits will play an important role in the selection process. Place of work: Uppsala Forms for funding or employment: PhD employment (4 years) Starting date: According to agreement. Application
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requirements for doctoral studies, you must: hold a Master’s (second-cycle) degree in engineering physics, electrical engineering, machine learning, data science, computer vision, computer science, applied
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the DC will use pore-scale direct numerical simulations (based on the lattice-Boltzmann method) to enable the precise quantification of mass transport within electrode microstructures, reconstructed via X
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. The DC will use pore-scale direct numerical simulations (based on the lattice-Boltzmann method) to enable the precise quantification of heat transport within noobed electrode microstructures, to then
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electronic doping to control and modify their electronic characteristics. The project’s goal is to develop fundamental understanding and innovative fabrication processes to solve urgent problems in organic
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Description: Broadleafification, i.e. the process of increasing the share of broadleaf tree species within conifer-dominated forests, is a promising strategy for biodiversity conservation in managed (hemi
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electronic characteristics. The project’s goal is to develop fundamental understanding and innovative fabrication processes to solve urgent problems in organic electronic devices, and to enable new components
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electronic characteristics. The project’s goal is to develop fundamental understanding and innovative fabrication processes to solve urgent problems in organic electronic devices, and to enable new components
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is necessary to develop efficient remediation technologies. At the same time, current recycling processes are greatly complicated by the presence of pollutants (chemical treatment products, heavy
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viral myocarditis. To copy their genomes, these viruses remodel the cytoplasm of the infected cell to create viral replication organelles. Despite their central role in virus infections, our understanding