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master degree degree is required in relevant areas such as remote sensing, computer sciences, and mathematics. You are also required to have strong background in deep learning for image analysis, e.g
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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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Group” (web: opeg-umu.com ), and the selected postdoc will be part of a larger collaboration, with industry and international academic actors, aimed at the development of a printed white-emitting LEC
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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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Group” (web: opeg-umu.com ), and the selected postdoc will be part of a larger collaboration, with industry and international academic actors, aimed at the development of a printed white-emitting LEC
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other activities to promote a strong multi-disciplinary and international network between PhD students, postdocs, researchers, and industry. Project description Electrocatalytic CO₂ Capture and Conversion
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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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defects, using both patient samples and model systems (mouse and fly). Implement methods for advanced image analysis. Develop strategies for metabolic tracing in tissues. You will collaborate closely with
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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