28 postdoctoral-image-processing-in-computer-science positions at University of British Columbia
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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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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow Department Bashashati Laboratory | School of Biomedical Engineering | Faculty of Medicine (Ali Bashashati
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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
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. Candidates must have: Ph.D. in Physics, Biophysics, Biomedical Engineering, Nanomedicine, or a closely related field. Minimum of 2–3 years of postdoctoral experience in advanced fluorescence microscopy, single
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, engineers, computer scientists, nuclear medicine physicians, …) towards the overall aim of enabling translational and physician-in-the-loop AI for medical imaging. Our research team is multicultural and
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molecular biology, tissue pathology, imaging (basic, translational, and clinical), ex-vivo/in-vitro/in-vivo modeling, and analytical skills. Organizational Status The applicant will work with other laboratory
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will participate actively in the design and execution of various project which range from bedside to bench and back using molecular biology, tissue pathology, imaging (basic, translational, and clinical
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to bench and back using molecular biology, tissue pathology, imaging (basic, translational, and clinical), ex-vivo/in-vitro/in-vivo modeling, and analytical skills. Organizational Status The applicant will
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/interpreting University, Faculty of Medicine and postgraduate and postdoctoral education policies/guidelines Participates in the development, documentation and implementation of processes and procedures
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scientists, nuclear medicine physicians) to develop and implement innovative AI algorithms applied to medical images To lead effort on enabling translational and physician-in-the-loop AI solutions for medical