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interdisciplinary, and together we contribute to science and society. Your role The Junior Research Group in AI in Biomedical Imaging conducts applied AI research focused on biomedical image computing. Our work
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and is organized into four major clusters: immunology, cancer, neuroscience, and cardiovascular research. These are complemented by platforms in digital medicine, medical imaging, metabolism, and
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live-cell imaging, we can now explore hormone regulation at unprecedented single-cell resolution. Using these tools, we have observed dynamic fluctuations in brassinosteroid signalling throughout
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Dortmund, we invite applications for the Research Group Analysis of Microscopic BIOMedical Images (AMBIOM): PhD Candidate (m/f/d) The position is part of the DFG-funded project: ComplexEye - a 96/384-well
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candidate eager to operate at the interface of molecular biology, neuroscience, and AI. Responsibilities Wet-Lab & Experimental Work Set up and optimize imaging based spatial transcriptomics protocols.Set up
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of: Perform advanced microstructural and topological analysis of natural fibres using 3D imaging and image‑processing tools. Design and refine routes to isolate and tailor lignin fractions derived from
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for particle detection and polymer identification including confocal and high-resolution imaging and spectroscopic analyses such as OPTIR and micro-Raman spectroscopy. The results will provide new insights
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imaging and spectroscopy of nanoparticles using advanced broad- and focused-beam transmission electron microscopy (TEM) techniques. Structure–Catalysis Relationships at the Atomic Scale Use custom
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Differentiate iPSCs into midbrain dopaminergic neurons and organoids for phenotyping and compound testing High content imaging and automated image-analysis Analyze omics data Collaborate closely with
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-derived samples for detailed phenotyping of sperm flagella and motile cilia, ultrastructural analysis, and assessment of flagellar/ciliary motility Analysing multi-omics, imaging, and functional datasets