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Field
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for the capture, processing, and dissemination of 3D digital twins of cultural artifacts using cutting-edge imaging and rendering technologies.
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activities relating to 3D/4D X-ray micro-tomography image quantification using machine learning tools. The employment will be at the Department of Solid Mechanics at Lund University and the work will be
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In this role, you will help develop and implement cutting-edge AI solutions for real-time, image-guided medical applications, with a focus on advanced robotics. You will work directly with clinical
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, and implementation of medical devices, software, operational workflows, realistic spacecraft, and mission environment models for display on immersive screens and physical prototypes using 3D printing
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supervision conferring with higher levels only in unusual situations. 8. Performs other job-related duties as required. Responsible for conducting research in 3D image analysis and shape modeling, with a focus
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vitro 2D/3D cell cultures and On-Chip devices to study fundamental processes of immune migration in solid tumor and its microenvironment. Tasks: Technical support in cell culture techniques with human
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innovative methods for processing and analyzing 7Tesla MRI images of different modalities and formats (NIFTI, DICOM, etc.) using machine learning and artificial intelligence techniques. These methods will be
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tomography (SPECT) is an imaging technique that tracks the 3D distribution of a radioactive tracer administered to a patient to monitor certain biological functions. The long acquisition times (10-40 minutes
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Translating deep learning models into clinical settings Experience developing deep learning models for real-time image/video segmentation, object tracking, 3D reconstruction, super-resolution. Have a passion on
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models for reliable predictions, along with uncertainty estimates. Advancing multimodal foundation models (images, text, clinical data), temporal 3D generative models for longitudinal MRI, and MLLMs