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Archiving and Communication System (PACS), applicable image upload software, and computer equipment to import images from digital media to PACS. Troubleshoots images and collaborates with Imaging Department
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images and text metadata. Build and evaluate monocular depth pipelines and implement multimodal retrieval with re-rankers for robust profile selection. Design and train advanced AI models for digital twin
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darkroom processes, large format photography, and color digital photographic production. The successful candidate will have the ability to teach a strong foundation in perceptual, formal, and critical skills
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and provide guidance for the MRI procedures during the process. Develop and maintain research records in an accurate and timely manner, including the collection and management of electronic and digital
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-cell omics technologies, including single-cell RNA-seq, confocal microscopy, immunolabelling, and image analysis. Where to apply E-mail alessandra.pierani@inserm.fr Requirements Research FieldBiological
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Processing and Image Analysis Group, Section for Machine Learning, Department of Informatics. You will be part of Visual Intelligence and the DSB group. For more information about the position see https
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involves the evaluation of digital images on a computer screen and identifies/characterizes ophthalmic features and pathologies in support of medical research activities. The tasks also include preparation
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transfer the methods to innovations in close collaboration with Aker BP and/or Equinor. The position is in the Digital Signal Processing and Image Analysis Group, Section for Machine Learning, Department
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) and familiarity with digital documentation systems. You might also have: Experience with spatial omics platforms such as 10x Visium/Xenium, Nanostring GeoMx/CosMx, Stereo-seq, or MALDI-imaging
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darkroom processes, large format photography, and color digital photographic production. The successful candidate will have the ability to teach a strong foundation in perceptual, formal, and critical skills