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analysis, and digital biomarkers. The department has a strong data science environment, with an additional team of three to four data scientists working across related cardiovascular research projects. As
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Position Details Position Details Job Title Post-Doctoral Research Position Number 8151040 Work Modality Fully In-Person Is this request for the creation of a new Position (or the modification
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statistical modelling, medical imaging data analysis, cancer omics, precision medicine and translational statistics. Depending on their profile, the successful candidate will work on one of the following
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of Energy (DOE) experimental facilities. This role involves research and development spanning areas such as optimization, Fourier analysis, numerical linear algebra, statistics, machine learning, and high
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strong technical expertise in deep learning, such as models for image segmentation, classification, multi-modal processing, foundation models, or agentic frameworks. An extensive background in computer
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. Preferred qualifications Experience in computer vision, medical-image analysis, echocardiography, ultrasound, cardiac CT, ECG, or another clinical imaging modality. Experience with DICOM, PACS, medical-image
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 27 days ago
the development and implementation of clinical trials, including feasibility testing, mechanism evaluations, advanced quantitative and qualitative methods, systematic reviews/meta-analysis, and implementation
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. The activity of the IMAGES team of the IDS department in LTCI covers many aspects of the processing, analysis and synthesis of digital images, volumes, and videos. A particularity of the team’s work is
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Characterization Facility to develop and employ novel techniques for defect characterization in solids. Core responsibilities include: Core Responsibilities: Expert on modalities in the scanning electron microscope
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-epithelial interactions. The role employs a multi-modal research approach spanning genetically engineered mouse models, histopathology, mouse and human organoids, CRISPR-Cas9 gene editing, single-cell