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Field
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highly active here. The primary goal of this position is to implement novel MRI and image processing techniques for the application in radiation therapy, including imaging guidance of radiotherapy
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systems using computer vision, quantitative image analysis, deep learning methods for detection, diagnosis, and quantitative analysis of abnormalities with multimodal data, including clinical and
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 7 days ago
Engineering, Computer Science, or Bioengineering. Knowledge of image processing and image analysis, preferably applied to medical imaging (e.g., segmentation, feature extraction, geometric reconstruction
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to the POSSEM trial, using photon-counting coronary CT angiography, advanced imaging, and computational modelling to identify patients at risk of accelerated coronary artery disease and enable more personalised
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that approximate natural settings, while allowing electrophysiological recordings, high-resolution optical imaging and optogenetic manipulation. In the current project, we are interested in studying learning and
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% Superannuation (Academic Level A) Based at our St Lucia Campus About This Opportunity Work with the Stehbens Group at AIBN, to conduct molecular, biochemical and live-cell imaging experiments of cell culture
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flying on top of thunderclouds in the Gulf of Mexico and is currently scheduled for summer 2028. Through this project, our group is building an innovative airborne gamma-ray imager, capable of localizing
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-time research experience since their PhD completion. We are looking for candidates with a PhD and a strong background in PET imaging, particularly with demonstrated expertise in the processing and
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to the POSSEM trial, using photon-counting coronary CT angiography, advanced imaging, and computational modelling to identify patients at risk of accelerated coronary artery disease and enable more personalised
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learning/computer vision methodology. The focus of this project will be on the development of deep learning methodology for spatio-temporal medical image analysis, that is medical images that evolve over