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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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-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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organ-on-a-chip (OOC) models, colony picking and bioprinting). The ideal candidate should have strong expertise performing machine learning (ML), computational biology with the capability and/or
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chemistry, biochemistry, microbiology, cell biology, and computer programming, relying on microfluidics. Experience working with members of the PI’s research group and collaborators to strategize about
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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
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, concise, non-conflicting requirements from subject matter experts who may or may not understand how technology can be used to positively transform the business process. Your responsibilities will include
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expected to establish an innovative research and training program that is capable of engaging in broad collaborations with colleagues from basic science, clinical departments, and members of CHRIM
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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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is preferred. Training in office procedures. Strong customer service skills working with multiple levels of an organization. Computer experience in Word and Excel at an advanced level. Experience with
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academia and industry. Research conducted at the three ACS facilities encompasses a broad range of topics from furthering our understanding of basic medical sciences, to enhancing our abilities to prevent