93 computer-science-image-processing positions at University of British Columbia in Canada
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Academic Job Category Faculty Non Bargaining Job Profile Research Associate Job Title Research Associate Department Nasiopoulos | Department of Electrical and Computer Engineering | Faculty
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Academic Job Category Faculty Non Bargaining Job Title Research Associate Department Nasiopoulos | Department of Electrical and Computer Engineering | Faculty of Applied Science (Panos Nasiopoulos
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+ benefits. Machine Learning for Computational Pathology, Medical Imaging, and Clinical Text Job Summary The School of Biomedical Engineering at the University of British Columbia, Vancouver campus is seeking
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, manuscript and grant writing. Mentors junior trainees and coordinate with clinicians and research partners (for senior roles). Qualifications and requirements Ph.D. in bioinformatics, computer science
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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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and experience. Preferred Qualifications Undergraduate degree in computer science is strongly preferred. Experience in front- and back-end database development, JavaScript/HTML/CSS, PHP, SQL, shell
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imaging research experience with a background in applying advanced techniques and methodologies. Basic computer vision and image processing techniques with experience in real-world applications is preferred.
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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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-molecule imaging, or nanoparticle characterization. Demonstrated expertise in quantitative fluorescence imaging and single-particle analysis. Proficiency in computational tools for image analysis (e.g
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of out-of-autoclave (OOA) composite materials processing. Conducts engineering design for experiments to develop analytical and numerical models to characterize OOA composite material properties and