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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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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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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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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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tasks and priorities. Duties are routine, involving knowledge and understanding of the resources and functions related to the University Library. The professional image of the library must be presented by
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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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-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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cohorts and biobank data. Partnering with the Data Sciences Institute , the Dalla Lana School of Public Health , the Department of Statistical Science s, and the Department of Computer Science
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with campus partners and patrons; impacting the library’s image. Errors in the processing of library materials have cost implications and can result in poor customer service. Supervision Received
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in biomedical engineering and organ-chip technology. The position is being offered in the Division of Thoracic Surgery of the Department of Surgery and the Cancer Research Program at the RI-MUHC, with