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Field
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models of image processing; (iii) demonstrate experience in academy-industry projects; (iv) interest in publishing high-quality journal papers in the field; (v) demonstrated leadership in research projects
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practical experience in deep learning-based machine learning or natural language processing. Strong background in statistical modeling. Strong scientific writing skills. Expertise in medical imaging
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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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internationally. The focus of our work is the investigation of severe mental disorders, including but not limited to schizophrenia and bipolar disorder. We study structural and functional imaging changes in
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Surgery Campus IU School of Medicine Indianapolis Position Summary POST-DOCTORAL POSITION IN STEM BIOLOGY in the Department of Otolaryngology-HNS We are looking for a motivated and creative post-doctoral
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, as well as from industry. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/294560/phd-research-fellow-in-deep-learning-for-medical-imaging-and-multi-modal-data-in
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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 | 21 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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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
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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