6 combinatorial-optimization Fellowship positions at National Research Council Canada
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Canola and Pea Development. The role This project aims to advance the science of plant tissue regeneration by developing optimized tissue culture protocols for species that are traditionally difficult
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vascularized GBM models that recapitulate the cellular heterogeneity and architectural features of the tumor microenvironment. The candidate will be responsible for designing, fabricating, and optimizing 3D
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PDF, Dev of new porous transport layer architectures for Proton Exchange Membrane Water Electrolysis
generic, off-the-shelf components lacking tailored designs and optimized interfaces. The absence of well-engineered PTLs impedes further advancements of PEMWEs. The successful candidate will collaborate
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structures, including the use of finite element modelling and simulation tools. Experience with data-driven design optimization would be an asset; Direct hands-on experience in advanced composite manufacturing
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the temperature-dependent polarization of pyroelectric materials to measure absorbed dose in real time. The Fellow will optimize sensor materials and designs, refine calibration methods, and validate performance
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or process optimization; and Experience in data collection, analysis, and processing. Assets: Experience using Python or another scientific programming language (e.g., MATLAB, R, Julia); Experience with