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Field
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. The successful candidate will contribute to projects aimed at understanding bacterial resistance mechanisms, optimizing antimicrobial therapies, and elucidating host immune responses to infection. This position
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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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-sensitive cilium of vertebrate photoreceptor cells. Explore pathophysiological mechanisms underlying inherited retinal degenerations. Experimental Design & Execution Design, perform, and optimize molecular
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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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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 17 days ago
. The results could support targeted high-resolution regional modeling studies, inform optimal locations for deploying field instruments such as IceNode, improve estimates and parameterizations of basal melt
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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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, and bioactive compounds from plant, food, microbial, and human samples; develops and optimizes analytical methods; analyzes complex datasets using metabolomics and statistical software tools
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National Aeronautics and Space Administration (NASA) | Merritt Island, Florida | United States | about 12 hours ago
critical decision-support tools for crew members to optimize crop productivity in space. Field of Science: Interdisciplinary/Other Advisors: Aubrie Orourke [email protected] (321) 749-7654 Questions
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artificial intelligence (AI) methods that propose, prioritize, and interpret experiments, accelerating the discovery and optimization of catalytic materials for energy and sustainability applications