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About the Opportunity The Postdoctoral Research Associate advances research in mathematical modeling, optimization, and stochastic analysis for large-scale and distributed systems. The role focuses
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disease dynamics, preferably with applications to emerging or re-emerging diseases; Proficiency in programming languages such as R, Python, MATLAB, C++, or similar tools for data analysis and model
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Lab researches on a variety of computer systems topics including HPC resilience, data center power management, large-scale job scheduling and performance tuning, parallel storage systems and scientific
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multidisciplinary approach that integrates genomics, transcriptomics, proteomics, molecular biology, and synthetic biology. Key Responsibilities Analyze and interpret multi-omics data to identify stress adaptation
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systems, and analytical methods to meet partner objectives Prepare, analyze, and interpret complex data; disseminate findings through peer-reviewed publications, presentations, and technical reports Write
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data and preparation of manuscripts. In addition, the postdoc will collaborate with the PI in the development and submission of new NSF proposals to extend this research. The position is for 1 year with
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the supervision of the PI, including proposal development and preparation of high-quality publications in top computer security, privacy, embedded systems, sensing, and networking venues. Pursue research topics
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ecosystems. The postdoc will conduct experiments in the field at Yale Meyers Forest and will lead the analysis of resulting data and preparation of manuscripts. In addition, the postdoc will collaborate with
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researchers in experimental techniques and data interpretation. · Collaborate with internal and external partners to integrate discovery data and prepare publications and grant proposals. · Present findings
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. Mentor and train students and junior researchers in experimental techniques and data interpretation. Collaborate with internal and external partners to integrate discovery data and prepare publications and