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on methodological development in cryo-electron microscopy (cryo-EM), particularly in image reconstruction and 3D volumetric analysis of macromolecular structures. Rather than aiming to incrementally optimize existing
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focuses on methodological development in cryo-electron microscopy (cryo-EM), particularly in image reconstruction and 3D volumetric analysis of macromolecular structures. Rather than aiming to incrementally
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by The Kempe Foundations. Project description Machine learning and artificial intelligence have had a major impact on medical image analysis in recent years. While CT and MRI provide highly
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-wavelength excitation) in to the current waveguide chip settings. further develope microfluidics for controlled fluidic exchange allowing for kinetic measurements and to enhance data-driven image analysis
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excitation) in to the current waveguide chip settings. further develope microfluidics for controlled fluidic exchange allowing for kinetic measurements and to enhance data-driven image analysis to provide
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collaborate closely with experts in microbiology, biophysics, microscopy, image analysis, and molecular biology. Requirements PhD degree, or a foreign degree equivalent to a PhD degree, in systems biology
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an interdisciplinary team Proven experience in data acquisition and analysis of advance microscopy imaging techniques (e.g. confocal microscopy, TIRF, FRET, STORM, DNA-PAINT) (desired) WE OFFER: Salary according
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scenarios. The research combines field experiments, AI-based analysis of museum specimens, and advanced climate modeling to provide process-based insights into the ecological and economic consequences
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Description Job description We are seeking a postdoctoral researcher in vehicle or traffic engineering, with a focus on the longitudinal dynamics of cyclists. The work includes modeling, numerical analysis, and
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experience of tissue imaging and image analysis Practical experience from working with functional assays including explant model(s) based on human tissue, preferably tumor tissue. Knowledge in immuno-oncology