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Field
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support, the centre plays a key role in driving technological development and innovation in fluorescence imaging. Joining this team means working at the forefront of microscopy in a collaborative, research
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students and postdocs in basic data analysis pipeline implementation; to explore pipelines for analyzing high-content image analysis. Genomics approaches used in our laboratory include, but are not limited
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the presence of photosensitizers. Conduct imaging studies in giant unilamellar vesicles (GUVs) to validate the impact of deuterium content in the lipid membrane to mitigate the photosensitizer activity. Conduct
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whether the distribution of the depth error across a single image at a certain distance is "the same" as the distribution of the depth error across a single image taken from a significantly different
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confocal, and super-resolution microscopy to perform live-cell and fixed-cell imaging. Apply advanced image processing using ImageJ, Matlab, and other platforms. Interpret complex imaging datasets and
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faculty member at the Associate Professor level from candidates with a Ph.D or equivalent degree specializing in biomedical engineering, electrical & computer engineering, neuroscience, or related fields
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characterization, clean-room processes or magnetic imaging Past experience in Micromagnetic or Atomistic simulations is desirable, but not mandatory Willingness to work closely with collaboration partners and travel
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researcher will have the opportunity to contribute to the courses taught by the members of the BMIC group, including Image Analysis and Computer Vision and Medical Image Analysis. Teaching is not a mandatory
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environment for the pursuit of cutting-edge cardiovascular and metabolic research. We study the fundamental molecular, cellular, and physiological processes that underly normal and abnormal cardiovascular and
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Area of research: Scientific / postdoctoral posts Job description: GFZ is Germany's national centre for solid Earth research. We advance the understanding of dynamic processes to address global