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regularly reviews to ensure alignment. Create proposals in InfoEd system and submit for internal review and approval. After reviewing Office of Grants and Contracts markup, edit proposals and gather final
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extended from cloud solutions (such as OpenLLMetry), the research question is how to identify anomalies in collected information that can come from multiple AI services either invoked manually by users or by
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modelling tools (CST or HFSS) - Fabricate and test for optimal electromagnetic performance, such as bandwidth, return loss, insertion loss and power-handling. - Develop and characterize new bonding/alignment
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that is best aligned with their research subject matter: Canadian Institutes of Health Research (CIHR) Natural Sciences and Engineering Research Council (NSERC) Social Sciences and Humanities Research
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learning. Opportunities to work with industry partners and national facilities. Research aligned with the development of standards for the recycled plastics sector. Applicants should have, or expect
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, demonstrating the ability to work under pressure while meeting multiple and competing deadlines, a willingness to learn, and the drive to improve processes or create efficiencies. The ability to correctly
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settings, increase strategic engagement and alignment between universities and industry, contribute to the solving of industry-identified challenges and opportunities, and create commercial, economic and
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in AI: Generative Diffusion & 3D/4D Scene Synthesis: Re-design diffusion and NeRF-style models so multiple agents jointly reconstruct a scene. Semantic-Aware Compression & Network Information Theory
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to legislative changes, ensuring compliance and alignment with industry standards. Actively engages with the financial aid community at the local, state, regional, and national levels to stay informed on best
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to evaluate. The main research question is how to automatically harmonize the retrieved information allowing a unique analysis and to map them against multiple user-tailored outputs. This is necessary as the