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video-based CHD biomarkers. You will work closely with clinical domain experts to define and evaluate AI models. You should hold a relevant PhD/DPhil (or near completion) in medical video analysis
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in secure environments Background in medical image analysis (CT/MRI preferred) Knowledge of detection, segmentation, and model development methods Interest in multimodal or longitudinal clinical data
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the scanner, data acquisition and analysis, image evaluation, and statistical analysis. Responsibilities* 50% Perform Translational Research laboratory tasks including Data Collection, Tabulation, and Data
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Essential: Proficiency in fluorescence microscopy techniques (confocal, wide-field, live-cell); experience with microscopy-microfluidic systems or single-cell analysis; strong background in image analysis
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of Biostatistics at Brown University is seeking a highly motivated individual for a postdoctoral research associate position interested in developing statistical methods for modeling medical imaging data
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by The Kempe Foundations. Project description Machine learning and artificial intelligence have had a major impact on medical image analysis in recent years. While CT and MRI provide highly
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disease and to develop therapies for areas of unmet medical need. With over 70 research groups and 800 employees, the Department of Biomedicine is the largest department at the University, located across
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routines Automate image acquisition and analysis workflows for robust particle size distribution measurements and morphology assessment Develop live image analysis and beam control protocols that adapt
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. Expertise and knowledge in AI deep learning model development on histology whole slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and
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PhD position / Postdoc position (all genders) in AI for biomedical data analysis Full time/ Part time | Temporary | Hamburg-Eppendorf UKE_Zentrum für Molekulare Neurobiologie (ZMNH) Better together