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), with a track record of working with large, complex datasets. This includes collecting, managing, analyzing, and visualizing/communicating data to a variety of audiences: the general public, scholars
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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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researcher to start as soon as possible. The research focus will be on developing and applying first-principles-based and data-driven computational methods to understand multiscale processes and to accelerate
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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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proposal development and preparation of high-quality publications in top computer security, privacy, embedded systems, sensing, and networking venues. ● Pursue research topics such as protecting
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, prototyping and data analysis to contribute to innovative translational near-infrared spectroscopic and tomographic imaging systems and clinical applications. The candidate will lead the design, testing and
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-being, educational attainment, housing stability, and overall social and emotional wellness. The evaluation will include secondary data analysis, participant interviews, and surveys over the course
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information. We develop novel theoretical approaches to characterize the structure and function of the genome using the tools of statistical physics, information theory, and computational modeling
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About the Opportunity The Center for Drug Discovery, in association with the Bouve College of Health Sciences, Department of Pharmaceutical Sciences, Khoury School of Computer Sciences, and
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position will involve participating in existing studies, leading independent research, as well as conducting analysis of existing data, which can range broadly from psychosocial questionnaires (e.g