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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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, Training or work experience in medical imaging, digital image processing, computer vision, pattern recognition, artificial intelligence, machine learning, deep neural networks, and statistics, Hands
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machine learning, computer vision, and medical image analysis, with publications in top-tier AI and medical image analysis conferences and journals, including CVPR, ICCV, ECCV, NeurIPS, MICCAI, TPAMI, TIP
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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow in Machine Learning for Computational Pathology, Medical Imaging, and Clinical Text Analysis Department Bashashati
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 6 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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Signal Processing and Image Analysis group (DSB), Section for Machine Learning, at IFI. DSB has seven full-time and five adjunct positions and carries out research across image analysis and machine
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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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external emails. We are seeking to recruit a Bioinformatician, for an initial period of 18 months, funded by an ARPA-H LIGHT (lymphatic imaging, genomics, and phenotyping technologies) grant, a multicenter
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neuroscientists, medical doctors, and image analysts. Collaboration across disciplines is a core element of the group’s research approach. The group focuses on advanced MRI and PET imaging (including amyloid, tau
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reconstruction, processing, synthesis, and registration, as well as AI for treatment outcome prediction and clinical decision making. The projects will involve using multi-modality images (CT, CBCT, MRI, PET