7 learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" research jobs at National Research Council Canada
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Researcher is to develop and apply, in collaboration with internal and external partners, predictive models including machine learning (ML), materials thermodynamics, etc. for high-throughput identification
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analytics, machine learning, and AI projects. Your work will help Canadian companies make better decisions, improve operations, adopt digital technologies, and accelerate innovation. This position is
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, introduce or improve instrumentation and data collection, and validate applications for machine learning. Technology Assessment: Evaluate emerging technologies, instrumentation devices and other tools
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learning methods to biological, genomic, phenotypic datasets, data integration. Experience with genotype-by-sequencing and/or whole-genome sequencing data analysis. Experience in research involving
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, machine-learning (adjoint or topology optimization), or other advancing design methodologies. Ability to design and model active photonic devices (MEMS, electro-optic or thermo-optic tuning
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within 5 years of their doctorate) to explore their science interests within an inclusive environment for active research, learning and service. They will become the Principal Investigators for the next
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of machine learning / AI methods and their applications to experimental data; Knowledge of data science (statistics and quality control) as it relates to experimental data and ability to automate data