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                underserved populations. Research skills and experiences will include utilizing mixed methods research, community engagement, qualitative, quantitative, and big data collection and analysis. This position 
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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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                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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                About the Opportunity Khoury College of Computer Sciences is looking for a Distinguished Research Fellow. Responsibilities: The Distinguished Research Fellow will be expected to start-up their own 
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                , that will work halftime with the NU Public Evaluation Lab (NU-PEL) on the evaluation of the Boston Area Youth Direct Cash Transfer (BAY-CASH) program and half-time with Dr. Jonathan Zaff on a research 
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                of statistical physics, information theory, and computational modeling. RESPONSIBILITIES The Postdoctoral Research Associate will perform basic or applied research of a limited scope, primarily using existing 
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                individual to join this exciting collaborative research program that builds upon existing strengths in ADRD biology and genetics (JAX) and bioinformatics methods and machine learning approaches (Roux 
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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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                to the development of new research initiatives and partnerships Professional Development and Service (10%) Stay current with advances in disease dynamics, epidemiological methods, and computational tools Attend 
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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