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independently. Merits: Education or training in computer vision, machine learning, deep learning, bioinformatics, advanced microscopy, cell biology, or RNA biology. Education in mathematical statistics
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learning, bioinformatics, advanced microscopy, cell biology, or RNA biology. Education in mathematical statistics. Experience in deep learning, computer vision, or neural network development. Experience with
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to fluorescently labelled AP-L complexes and analyze how the cells accumulate and spread the complexes over time using live cell imaging, immunocytochemistry, ELISA, Western blot, electron microscopy and other
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on optical tweezers, atomic force microscopy and advanced fluorescence microscopy to characterize the biophysical properties of the endothelial glycocalyx with suitable cellular and molecular models
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. In this project, you will use a combination of advanced fluorescence microscopy and virological methods to study how viruses overcome the glycocalyx barrier to reach the cell surface. The focus is on
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Referensnummer IFM-2026-00053 Work assignments This PhD position focuses on methodological and computational development in cryo-electron microscopy (cryo-EM), with emphasis on image reconstruction
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biology are a strong merit. Practical experience in molecular cloning, human cell culture, intracellular infections, and fluorescence microscopy will be particularly beneficial for the project. You should
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experience in molecular cloning, human cell culture, intracellular infections, and fluorescence microscopy will be particularly beneficial for the project. You should be highly motivated and able to work
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and phylogenetic constraints on mycorrhizal strategies. In this project the PhD will combine controlled plant–fungus experiments with microscopy, physiological measurements, and quantitative data
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and characterization of nanocellulose materials. Documented knowledge and experience in electron microscopy, HPLC, liquid chromatography-mass spectrometry (LC-MS) and circular dichroism is meriting