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Biology, Medical Imaging, Physiology, Biochemistry, or a related field. Experience: Experience with animal models of disease Strong publication record Strong communication skills Skills: Experience with
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candidate will be expected to contribute to both the teaching and research mission of the School and Western University in areas such as neurophysiology, neuropharmacology, or medical imaging. Applicants must
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: Design and implement ML, deep learning, and Large Language Models for orthopaedic applications Work with multimodal clinical data, including: Medical imaging (X-ray, CT, MRI) Electronic health records (HER
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Course Description: This course explores the worlds of virtual, augmented, and mixed reality applications, and prepares students with user experience design techniques to prototype, evaluate and critique
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strive to develop new diagnostic and therapeutic approaches to detect and treat children suffering from cancer earlier, better and with reduced impact on their life. To reach this goal, we use mass
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multimodal clinical data, including: Medical imaging (X-ray, CT, MRI) Electronic health records (HER) Textual and Voice data Apply supervised, unsupervised, and self-supervised learning methods. Develop
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include a PhD or equivalent, and postdoctoral research fellowship experiences. The selected applicant will be a recognized leader in the field of cancer immunology and will have expertise in
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close collaboration with industry in areas such as biomedical engineering, medical imaging, automation and systems, energy and power grids, microelectronics, microwave systems, telecommunications systems
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immunotherapeutics; or (3) nanomedicine and theranostics. The successful candidate will hold a PhD or equivalent, have completed postdoctoral or equivalent training in a discipline relevant to cancer research, exhibit
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the milieu of clinical practice, and are ultimately devoted to improving the care, treatment, and well-being of patients. The Department offers academic degrees at the bachelor’s (Bachelor of Medical