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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn't imagine the future, we invent it. If you're passionate about joining a community that challenges the
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in research participants. With this research, we have a unique opportunity to address the large unmet need of treatment-resistant disorders of brain function. We have applied the technology to patients
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. You have a background in machine learning for spatial data (e.g., random forest, neural networks) or are open acquiring these skills. You have experience with handling large geospatial datasets and
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and staff, and providing support in applying for additional research grants. There is also opportunity to conduct analyses of already-collected data. Job Description Primary Duties & Responsibilities
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position in big data analysis, substance use, neurocognition, and tobacco regulatory science. The position entails research on (1) analysis of big data using advanced statistical methods, (2) assessment
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, development, and execution of computer simulations of system related to different replication stages of the HIV virus. Preference will be given to applications with expertise in 1) protein dynamics; 2
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of mouse behavioral paradigms is required. Extensive computer programming experience in python or Matlab and the ability to deal with large, complex datasets are required. Experience with preparation and
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also collaborating with the PI and graduate students. Opportunities to Contribute Performs research and development on laser spectroscopic ranging and imaging systems. Analyzes research data and
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for one year. The associate will have the opportunity to assist with data analysis and manuscript writing for a recently completed large randomized clinical trial on smoking cessation induction within a
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large multi-dimensional datasets using statistical tools such as positive matrix factorization (PMF) and cluster analysis Investigate the influence of different urban emission sectors on atmospheric