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for this job SAIT’s Applied Research and Innovation Services department helps partners conceptualize, prototype and deliver products to market. ARIS is on the leading edge of novel technology development. As one
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science initiatives, ensuring data integrity and driving innovation in pediatric imaging data management practices. The Senior Computational Neuroimaging & Neuroinformatics Data Manager is a senior member
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 19 hours ago
area of research strength within the Faculty of Medicine, and is supported by a centralized Cores facilities enabling genomics, proteomics, metabolomics, DNA sequencing, and imaging, with strong
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State Quantum Simulator Positions: Postdoc, Undergraduate, Part-time researchers/engineers Required Skills: high work ethic and clean organization, excellent and respectful communications Roles: Postdoc
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foster synergies and engagement across stakeholders. The themes are: 1) cellular and molecular engineering; 2) imaging and computational biology; and, 3) human interfacing devices. Organizational Status
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communications, including proposal preparation, presentations, and other donor-facing documents. These will require editing, formatting, compiling content, sourcing images, and design support. Assisting with
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communication, foster a fun and social staff culture, and build a strong sense of pride in our unique educational offerings. If you can picture yourself contributing to this exciting work, we want you on our team
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appropriate images when needed by team members. · Prepares final production ready files for both print and web. · Manages digital assets through an organized logical directory system
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adversely affect the image and reputation of the SPPH, Faculty of Medicine. The incumbent will require minimal supervision and will exercise a great deal of independent judgment regarding scheduling and
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with our interdisciplinary team of scientists and engineers. Responsibilities include but are not limited to Experimental Design and Execution, Computational Modeling, Prototype Development, Data