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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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behavior, human-computer interaction, psychology, computer science or related disciplines to work on research projects on human-AI interaction. Increasing ability to generate human-AI interaction data needs
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. The research focus will be on developing and applying first-principles-based and data-driven computational methods to understand multiscale processes and to accelerate chemical discoveries for renewable energy
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-of-the-art methods, datasets, and challenges Proven experience with: Video data processing for learning and inference Deep learning architectures for video analysis Python programming and PyTorch framework
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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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water resources and flood-resiliency planning is a plus. Hiring Process The hiring process for this role is ongoing. Application review will begin immediately, and candidates will be interviewed on a
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of researchers (including social epidemiologists, other epidemiologists and data scientists, and policy researchers) and will be involved in all aspects of the research process. Opportunities will include
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water resources and flood-resiliency planning is a plus. Hiring Process The hiring process for this role is ongoing. Application review will begin immediately, and candidates will be interviewed on a
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projects independently and collaboratively Demonstrated ability to mentor students and manage complex projects Experience with water resources and flood-resiliency planning is a plus. Hiring Process The
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and data science, digital engineering, the advanced life sciences and medicine, and other tech fields. Partnership is what sets our education and research model apart. With leading companies