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Summary Assist with online classrooms at graduate and/or undergraduate levels in the Instructional Design & Technology program and/or the Management & Technology major. May participate in
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 3 days ago
interactions. Topics include development of semantic web properties using contemporary programming techniques; standards-based design of responsive accessible systems; and production of rich media for online
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colleagues on multi‑omics data integration and analysis. You will also work with AI experts to help implement predictive models that improve guide design and functional genomics workflows. You will join an
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colleagues on multi‑omics data integration and analysis. You will also work with AI experts to help implement predictive models that improve guide design and functional genomics workflows. You will join an
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Job Description Field of research: Single particle cryo-electron microscopy and X-ray crystallization of viral glycoproteins, immunogen design, virology, biochemistry and biophysics. Purpose
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The »Grid-free Methods« department at the Fraunhofer Institute for Industrial Mathematics ITWM focuses on the modeling and efficient simulation of complex industrial problems for the design and
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interactions is therefore needed. Understanding how introduced microorganisms interact with resident communities — whether through competition, cooperation, or niche differentiation — is key to designing robust
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. In this project, we aim to develop digital tools combining density functional theory (DFT) and machine learning (ML) to accelerate the in-silico design of solid catalysts for the DA process. - Perform
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. Areas of teaching include Communication <b>Design</b>, <b>Fashion</b> <b>Design</b>, <b>Human</b>-Centered <b>Interaction</b> <b>Design</b>, <b>Interior</b> <b>Design</b>, <b>and</b> User Experience <b>Design</b>. <b>Minimum</b> Qualifications Communication <b>Design</b>, <b>Fashion</b>...
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of linking atomic interactions to larger scale dynamic materials properties. A primary challenge with these investigations is that the predicted results are often extremely sensitive to the choice