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systems, from programming languages to software engineering, from human machine interaction to signal and image recognition, multimedia processing, knowledge engineering, artificial intelligence, and
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and publication activities in the field of applied mathematics • Participation in existing research projects and development of new research projects in the fields mathematical image processing
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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-driven approaches
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diagnosis and treatment, with a particular focus on hypertension and other cardiovascular diseases. The work involves advanced processing and analysis of 4D Flow MRI data, as well as the integration of image
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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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, statistics, physics, aerospace engineering, signal processing, electrical engineering or a related subject. Full details of how to apply can be found at the following link: https://www.sheffield.ac.uk/acse
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of Computer Science, sub-areas of Artificial Intelligence, Serious Games and Medical Image Processing, and supported by the Multiannual Funding of R&D Units of the FCT (UID/5210/2025) Where to apply
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information processing. In particular, we aim to pioneer theories and technologies that underpin the recognition, understanding, and utilization of diverse forms of information, with a focus on image and
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longitudinal, personalised fracture-risk trajectories using repeat imaging. The successful candidate will therefore be working primarily as an AI/image-processing researcher, developing deep-learning models