39 image-processing-"Embry-Riddle-Aeronautical-University" Postdoctoral positions at Nature Careers in Germany
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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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Labeling and Imaging“ Dr. Gražvydas Lukinavičius Am Fassberg 11 37077 Göttingen Germany www.mpinat.mpg.de/ Information pursuant to Article 13 DSGVO on the collection and processing of personal data during
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Package: Actively participate in a participant-driven co-design process to develop a framework for returning molecular and imaging data to study participants Contribute scientific content to patient
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of image processing e.g. using machine learning German skills For further questions, contact Dr. lmke Greving (imke.greving@hereon.de). We offer you an exciting and varied job in a research centre with
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Student or Postdoc (f/m/d) for the project Theory and Algorithms for Structure Determination from Single Molecule X‑Ray Scattering Images Project description Single molecule X‑ray scattering experiments
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), proteomics (LC-MS/MS), (epi)genomic data processing, multi-omics integration, machine learning approaches for high-dimensional data, confocal / two-photon imaging, tissue clearing and light-sheet microscopy
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Research Centre (CRC) 1450 “inSight – Multiscale imaging of organ-specific inflammation” (https://www.uni-muenster.de/CRC-inSight) The project is based in the research group of Prof. Dr. Kerstin Steinbrink
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three Helmholtz centres, each with complementary expertise in microfluidics technologies, imaging, AI-supported image analysis and innovative reporter systems. The scientist will set up a microfluidics
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molecular analysis of the detected tumor clones. The postdoc (f/m/x) will build robust single cell-based foundation models on digital pathology images and will combine AI with our latest Deep Visual