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                Employer- National Research Council Canada
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                addition PDFs will be allocated a travel fund to support their work. Project title Quantum Plasmonic Sensors The role NRC is seeking a Postdoctoral Fellow to lead research and development in quantum 
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                addition PDFs will be allocated a travel fund to support their work. Project title Postdoctoral Fellow in Single-Cell Genomics and Computational Biology The role The NRC Digital Technologies Research Centre 
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                addition PDFs will be allocated a travel fund to support their work. Project title An AI-Driven Framework to Screening for High Performance Photoresins used with Volumetric 3D Printing The role Tomographic 
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                to Research Officers. Salaries commensurate with experience are taxable and subject to other deductions. As a guide, the current annual PhD recruiting rate is $83,985. In addition PDFs will be allocated a 
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                PDF, Dev of new porous transport layer architectures for Proton Exchange Membrane Water ElectrolysisPhD recruiting rate is $83,985. In addition PDFs will be allocated a travel fund to support their work. Project title Hierarchical Design of Porous Transport Layers for Enhanced Performance in Proton 
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                addition PDFs will be allocated a travel fund to support their work. Project title Next-Generation Models for Brain Cancer: 3D Bioprinted CNS-on-Chip Systems for Advancing Glioblastoma Drug Discovery 
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                ., for cooperative sensing and perception, collective intelligence, or resource allocation. Developing Explainable AI (xAI) methods for decision transparency in safety-critical applications in 6G vehicular networks 
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                . The project seeks to develop mathematical models for allocation of critical resources during pandemics. Populating these instances with real-world data we would then develop novel algorithms to solve them 
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                call is open for the allocation of 1 (one) research fellowship for a PhD student or a Master enrolled in a non-academic degree course (BI), within the Research Project nº 21229 - PT2030, entitled 
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                sensing and perception, collective intelligence, or resource allocation. Developing Explainable AI (xAI) methods for decision transparency in safety-critical applications in 6G vehicular networks. Overall