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. Within this framework, a doctoral studentship is now being advertised in the field of image-based activity quantification for therapeutic radio-pharmaceuticals. Being a doctoral student As a doctoral
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-camera systems, and automated imaging workflows Build Python-based pipelines for image processing, micro-CT reconstruction, metadata management, and data analysis Develop and optimize algorithms for
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analysis, and logical reconstruction using physically grounded image data. The research explores how AI-driven analysis can move beyond manual reverse-engineering workflows by automating feature
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The University of Texas MD Anderson Cancer Center | Houston, Texas | United States | about 13 hours ago
), combined DNA methylation and genomic alterations in lung cancer evolution (Gimeno-Valiente et al., Nature Genetics 2025), benchmarking methods for subclonal reconstruction (Salcedo et al., Nature
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for risk prediction and treatment optimization, AI for image reconstruction, segmentation, and disease detection; application of machine learning and computational methods toward biomaterial, drug, or
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image reconstruction, quantitative analysis, and AI-assisted imaging pipelines. Investigator and Collaborative Research Support Meet with investigators to define imaging objectives and develop
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microscopy or other high-dimensional imaging datasets, Image reconstruction and computational microscopy, including algorithms for super-resolution microscopy, phase retrieval, quantitative phase
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Duties and Responsibilities Develop novel algorithms for ultrasound simulation, imaging, and quantitative analysis Customize machine learning / deep learning methods for image reconstruction Conduct
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subsequent PhD in computer science (or a related field). Rich experience in devising machine learning models, methods, and algorithms for computer vision, image processing, imaging, and/or physics
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imaging,live-cell imaging. Three-dimensional image reconstruction and quantitative image analysis using Fiji/ImageJ, CellProfiler, Imaris, or related software. High-throughput Multi-omic s Experience