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analysis, aimed at understanding how the human brain encodes information. The position is placed in the Digital Signal Processing and Image Analysis group (DSB), Section for Machine Learning, Department
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medical image processing, excellent Python programming skills, and prior experience training and evaluating neural network models (e.g. in PyTorch). Familiarity with biomechanics or finite-element
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this selection procedure, one (1) position equivalent to that of PhD Researcher is open in the area of Computer Science, sub-areas of Artificial Intelligence, Serious Games and Medical Image Processing
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large-scale pretraining. Experience with medical imaging, particularly CT, and associated image formats or processing workflows. Familiarity with DICOM, NIfTI, image registration, segmentation, or
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. To be successful in this role you need to have the following qualifications A PhD in Computer Science, Applied Mathematics, Physics, Engineering, Scientific Computing, Image Processing, Data Science
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supported by the KI Innovations office to translate research findings into clinically applicable tools for improving healthcare. The core competences of the group include large-scale image processing
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., Claude Code) Strong mathematical foundation relevant to quantitative image analysis (optimization, regression, statistics, signal processing, cluster analysis, machine learning) Advanced skills in
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multiaxial mechanical tests on the dual-actuator loading frame, and acquiring and processing full-field deformation data using three-dimensional digital image correlation Develop the numerical platform
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Texas Children's Hospital and Baylor College of Medicine | Houston, Texas | United States | 26 days ago
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