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performing live-cell imaging of C. elegans germline stem cells - Designs and performs experiments to dissect the mechanism(s) regulating mitotic spindle orientation in C. elegans germline stem cells
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of Biomedical Engineering (SBME). The successful candidate will work on advanced machine learning applications in computational pathology, medical imaging, and clinical text analysis. They will be expected
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Research Assistant 2 position is based in Prof. Tal Arbel's research lab in the department of Electrical and Computer Engineering. This position provides research, technical, and administrative support for
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. Qualifications: PhD in machine learning, with experience in applications in computer vision or medical image analysis. Strong publication record in top venues (e.g., CVPR, MIDL, MICCAI, IPMI, PAMI, TMI, MIA
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. in bioinformatics, computer science, computational biology, or a related field, obtained within the last 5 years by the time of the appointment start date. Strong experience in deep learning applied
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such as magnetic resonance imaging (MRI) scans and electroencephalography (EEG), including positioning equipment on study participants (scalp and head region), computer set-up, and monitoring. Maintains
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attending in-person, meetings will be held at the Cedar Project BC Children’s Hospital Research Institute (BCCHRI) Office, 950 W. 28th Ave. where a workstation equipped with telephone, computer and furniture
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equipped with telephone, computer and furniture will be provided. The position is in the School of Population and Public Health (SPPH), which is in the Faculty of Medicine at the University of British
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research tools. Applicants must be enrolled in a university program at the Master’s level. The successful candidate will: Develop a process to automatically screencap three news homepages (CBC, Global News
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learning technology/AI as a tool to analyze these images and come up with an algorithm to be utilized for early detection of AD/PD when the patient has no visible sign and symptoms. This project is team