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, or related platforms. Investigate cellular mechanotransduction and responses to matrix stiffness, architecture, and applied forces. Perform quantitative microscopy and image analysis using confocal microscopy
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evaluation and cost-effectiveness studies. Evaluation and analysis of the chest image using radiomics techniques. Where to apply Website https://www.irblleida.org/en/jobs/509/postdoctoral-researcher
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and Prevention Group of HKU (stroke.hku.hk) to assist in neuroimaging data acquisition and analysis, write-up of the results, as well as training of students Apply image analysis skills on clinical and
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-edge detectors and provide data processing, visualisation and analysis solutions that enable researchers to rapidly interpret results from X-ray scattering, imaging and spectroscopy experiments. Our
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behavioral testing, tissue collection, histology, microscopy, and quantitative analysis as required by individual studies. 4. Acquires, processes, and analyzes respiratory, electrophysiological, imaging
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focused on aortic disease and complex endovascular aortic repairs. Responsibilities include protocol development, study design, data collection and analysis, interpretation of clinical and imaging findings
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models (rodent handling/surgery experience a plus). ● Familiarity with quantitative/computational approaches (e.g., R, Python, image analysis, statistics) is a plus but not required. ● Ability
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and apply AI and machine learning methods for signal processing, image analysis, data fusion, and prediction; · build physics-informed and hybrid AI models that combine geophysical knowledge with data
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
facility, Small Animal MRI core facility, Radiochemistry core facility, and Image Analysis core facility. The Preclinical Molecular Imaging (PMI) core facility is equipped with cutting-edge preclinical
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Develop computational pipelines and machine learning methods for genomic, clinical, or imaging data analysis. Analyze large-scale biobank, EHR, and/or imaging datasets. Apply statistical, deep learning, and