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using a variety of cognitive and cognitive neuroscience approaches (e.g. behavioral, psychophysical, neuropsychological, physiological, imaging, pharmacological, genetic, and computational methods
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must have significant computational and applied statistical skills that can be applied to modeling and forecasting the spread of infectious diseases. They must be able to handle, process, and analyze
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— including social epidemiologists, data scientists, and policy researchers — and will be involved in all aspects of the research process, including: Analyzing rich datasets for publications Developing and
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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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-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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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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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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indication of our preferences around the discipline or background of a successful candidate. The hiring process for this role is ongoing. Application review will begin immediately, and candidates will be
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About the Opportunity ABOUT THE OPPORTUNITY The Di Pierro Lab is focused primarily on physical genetics. We are broadly interested in the physical processes involved in the translation of genetic
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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