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for BlueMaterials?, bridges the different techniques developed within the cross-area imaging and gives support to all researchers dealing with image processing challenges. By focusing on automation and enabling
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processing challenges. By focusing on automation and enabling correlative imaging in particular, it will streamline image processing efforts and enable the elucidation of specific mechanisms of water-material
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support to all researchers dealing with image processing challenges. By focusing on automation and enabling correlative imaging in particular, it will streamline image processing efforts and enable
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to all researchers dealing with image processing challenges. By focusing on automation and enabling correlative imaging in particular, it will streamline image processing efforts and enable
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: Mathematical modelling will be used to investigate the processes and consequences of disease progression from liver fibrosis to cirrhosis to hepatocellular carcinoma (primary liver cancer), to select specific
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data processing, image/signal analysis, and machine learning. ✅ Familiarity with instrument control, calibration, and automation workflows. ✅ Excellent written and oral communication skills in English
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processes. At BAM we do research that matters. Our work covers a broad array of topics in the focus areas of energy, infrastructure, environment, materials, and chemistry and process engineering. We
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advanced machine learning methods for multimodal and 3D medical image analysis in musculoskeletal medicine, in close collaboration with clinicians and computer scientists. PhD or Postdoctoral Researcher
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programming for workflow automation and data handling Familiarity with high-content imaging and quantitative analysis is a plus Interest in interdisciplinary approaches at the interface of biology, technology
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» Biology Biological sciences » Biological engineering Engineering » Biomedical engineering Physics » Biophysics Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country Germany