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Overview An opportunity has arisen for an experienced image analysis and computing scientist with experience in both classical image processing and artificial intelligence to work as part of
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HBIGS Heidelberg Biosciences International Graduate School | Heidelberg, Baden W rttemberg | Germany | 4 days ago
cutting-edge image analysis on the website and apply there: https://www.msca-agile.eu/ Deadline: 30th of April, start date September 2026. Note: MSCA mobility criteria apply: To apply for a project in your
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, or materials characterization. Experience with CT reconstruction or analysis software (e.g., Dragonfly, Avizo, VGStudio MAX, or similar). Experience with scientific data analysis software and image processing
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processing and image enhancement, and provides images, data analysis, and patient information to the physician for diagnostic and therapeutic interpretation, under the direction of the Nuclear Medicine
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project at the forefront of microscopy and bioimage analysis (https://www.msca-agile.eu/ ) and contribute to OMERO integration and optimization of Biom3d, a cutting-edge deep-learning framework for 3D image
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About the role We are seeking a highly motivated research assistant with expertise in cardiac and extracardiac image acquisition and analysis to join the Raman research group at the Oxford Centre
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Engineering, Medical Image Analysis, Applied Mathematics or a related field Experience with deep learning for image analysis, preferably in medical imaging Experience with generative modelling, ideally
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the analysis of images collected within the project to validate the new tools, in collaboration with cryo-EM practitioners. Additionally, the postdoc will work on developing new tools for the analysis and
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omics platforms (e.g., fluorescence microscopy, mass spectrometry imaging (MSI), Raman systems) and will develop computational and statistical data analysis methods to improve data quality, information
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preclinical studies involving radiopharmaceuticals for diagnosis and radionuclide therapies (in vitro uptakes, in vivo biodistribution, therapeutic efficacy), - Improving image analysis workflows to extract