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Field
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conditions. Optimize the MRTOF mass spectrometer for routine operation. Advance our spatially resolved laser ablation ion sources for mass calibration and spectroscopic applications Lead the Canadian Ba
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to scientific computing and other scientific domains. Candidates with strong backgrounds in stochastic analysis, numerical analysis, sampling methods, optimization, scientific computing, or related areas
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into an eco-epidemiological network modeling framework and optimization function. 2. Stakeholder Engagement & Focus Group Co-Facilitation (30%) ● Design and lead focus groups, expert elicitations, and workshops
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nanostructures and device optimization using simulations. The goal is to develop precise control of specific emission properties such as polarization, color, and angular distribution while simultaneously
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-scale conditions and evaluate recycled bio ashes as a source of nutrients or growth-promoting components. The research will optimize cultivation and exposure conditions, quantify metal uptake by
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. The duties and responsibilities for this position will be to: 1) Analyze data with the STAR/LHCb experiments. 2) Contribute to the EIC physics program and the optimization of the EPIC backward HCAL project
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on identifying suitable electrode materials and optimizing reaction conditions, electrolyte composition, and solvents, using three-electrode configurations and organic carbonate-based media. Building
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animal experiments, etc. • Perform data collection and analysis • Test, optimize, troubleshoot new and existing methods and techniques, and update protocols • Prepare and maintain biological stocks
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with the world's first exascale system, the Frontier supercomputer, and collaborate with experts in machine learning, optimization, electric grid analytics, and image science. The successful candidate
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assessment of procedural and technical performance Implement and optimize on-device and edge AI solutions for real-time or near-real-time inference Work closely with clinical and technical collaborators