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Open Position: (Postdoctoral) Researcher (m/f/d) Model Building for SPM Images of Macro(bio)molecules Job Code: 03.25 Your project: Build and test a GPU‑accelerated program to detect and interpret
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Postdoc position: mechanisms of autoimmunity & autoinflammation in inborn errors of immunity (m/f/d)
erythematosus (SLE). This project will integrate biochemical, immunological, and imaging techniques, along with co-culture of patient-derived organoids and model organisms combined with various –omics approaches
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to emerging carbon dioxide removal techniques. To this end, distributed pelagic imaging techniques enable the sustained observation of aquatic life and its debris, comprehensively covering the earth’s water
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improved patient outcomes Integration of findings into translational research, collaborating closely with clinicians, imaging specialists, and bioinformaticians to optimize interventional oncology treatments
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, molecular biology and fluorescence imaging will be preferred. We offer an interdisciplinary research environment that fosters innovation and collaboration and are committed to training and career development
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electrophysiological and calcium imaging recording techniques to assess glia and neural activities. Perform pharmacological modulation to investigate neural circuit activity in the context of metabolism and energy
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intelligence methods for data analysis, including image data processing present results through reports and presentations to scientific and clinical audiences perform heterogeneous data analysis in the context
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talents and passion as we work together to drive forward scientific progress. The Institute of Machine Learning in Biomedical Imaging (IML) focuses on pioneering research to harness the power of machine
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Your group The Prevedel group in Heidelberg is seeking a postdoc with an applied physics and/or engineering background to work on advanced imaging techniques for applications in biology and
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systems, organoid culture, orthotopic transplantations of cells/organoids, CRISPR/Cas9, molecular in vivo imaging, quantitative proteomics/phosphoproteomics, multiple transcriptomics and genomics approaches