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the Clinic for Radiology. As one of Germany's leading university radiology departments, we provide all outpatients and inpatients at UKM with state-of-the-art diagnostic imaging and image-guided therapy
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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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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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learning, deep learning, and LLM-based methods to multimodal clinical datasets e.g. EHR, imaging, omics, sensor data Designing and implementing NLP pipelines for clinical text processing, semantic annotation
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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
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(https://www.cliccs.uni-hamburg.de/about-cliccs/cliccs-ll.html ). In CLICCS-M4, we are further developing the unique ICON-Coast model within the ICON Earth System Modelling Framework. The objective
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Andrology (CeRA). Here, we investigate the cellular and molecular mechanisms underlying vascular and lymphatic control of gonad development, using advanced imaging, zebrafish models, and organoid systems. Our
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on language-agnostic modalities, including images and speech, as bridges to enhance cross-lingual transfer between high- and low-resource languages. The project combines resource creation with methodological