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above, the postdoc can be involved in the following research areas if interest arises: characterization of fabricated HCFs (both structural and optical transmission properties), and experimental
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environment project, we will develop automated species and community recognition, particularly focusing on pathogenic soil fungi, with help of deep-learning algorithms fed with microscopic image and Raman
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postdoc with a strong background in cell or tissue biology. The ideal candidate should have practical experience working with mouse models and analyzing sequencing data. Experience with organoid cultures
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Protein Expertise Platform, X-ray, proteomics, NMR (850-400 MHz), cryo-EM and Biochemical Imaging Centre (confocal, SIM, FLIM, spinning disk, TIRF, STORM). Project description Autophagy is an evolutionarily
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topological optimization of light guidance in HCFs, and numerical simulation of thermo- and fluid dynamics under fiber-drawing processes. Apart from the main tasks above, the postdoc can be involved in
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and conversion applications, among other areas. In addition, close collaboration with other LU facilities—such as the 4D Imaging Lab, NanoLund, and MAX IV—will also be possible. Subject description This
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scale. Characterization of ash interactions with products. Imaging and determination of chemical composition with SEM-EDX. Advanced image analysis for quantification of porosity. Multicomponent chemical
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rotation forestry towards continuous cover forestry methods is debated in Scandinavia as a way forward to increase biodiversity and climate resilience. This postdoc project will be based on empirical field
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scale. Characterization of ash interactions with products. Imaging and determination of chemical composition with SEM-EDX. Advanced image analysis for quantification of porosity. Multicomponent chemical
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—such as the 4D Imaging Lab, NanoLund, and MAX IV—will also be possible. Subject description This project will investigate the failure mechanisms of silicon-based anodes in solid-state batteries (SSBs), a