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, field spectrometry, and lab-based hyperspectral imaging. For more information about the department or division visit: https://www.slu.se/en/departments/crop-production-ecology/ Read more about our
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mathematics, data science and machine learning for image recognition. Moreover, you will develop methods and software that will allow new characterization of nanoscale materials. Therefore, your research will
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extent to which large-scale, reactivated basement structures focused mineralization. The focus is on regional-scale three-dimensional (3D) anisotropic magnetotelluric (MT) imaging of the deep crust and
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cancer, genetics, neuroscience, metabolism, and imaging. The center provides access to excellent infrastructure and is well equipped with all necessary instrumentation. The laboratory has a strong
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, including tissue preparation, sectioning, and staining. Microscopy techniques, with a focus on confocal microscopy and image analysis. Contributing to study design, selection of analytical methods, and method
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project Imaging flow cytometry is a state-of-the-art quantitative flow-based image analysis technique. The combination of fluorescence microscopy and flow cytometry enables high-throughput imaging of cells
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and its plasticity. The project will be carried out by applying “all optical physiology” methods, i.e. a combination of calcium imaging with optogenetics, in freely behaving animals in Paolo Medini’s
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and practical skills in the field of data science, especially multimodal data analysis. Experience on image processing via machine learning. Programming skills (e.g., Python) are required. Ability
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illuminate and understand various aspects of human development over the past 10,000 years, thereby creating a comprehensive picture of human prehistory regarding language, culture, and genetic evolution in
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development over the past 10,000 years, thereby creating a comprehensive picture of human prehistory regarding language, culture, and genetic evolution in Africa, Oceania, and Eurasia. Read more: http