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SciLifeLab for Cryo-EM and cellular volume imaging, providing “state of the art” technology access for this project. Cryo electron microscopy (cryo-EM) methods provide possibilities to visualize
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Work duties and responsibilities We are looking for two project assistants who will primarily focus on processing and analyzing large sets of medical brain imaging data. We have amassed large quantities
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harmonic generation. The project involves pulse compression in a multipass cell, pulse shaping in both time and frequency domains, beam shaping using spatial light modulators (SLMs), and generation of new
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. The techniques used in the project include protein expression and purification, biochemical characterization, and in vitro reconstitution, cell imaging, western blotting, knock-out/down. Working tasks The senior
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combination of calcium imaging with optogenetics, in freely behaving animals in Paolo Medini’s lab, in collaboration with Olof Lagerlöf and UmU’s new visiting professor Valentina Emiliani. Tasks
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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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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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for multimodal machine learning, combining large-scale image data with molecular profiling and clinical data. This includes, for instance, research on deep learning-based image analysis and data assimilation
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tissue using spatial transcriptomics, electrophysiology, imaging-based assays, and integrative data analysis. The goal is to map disease-related cellular states and spatial patterns of dysfunction 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