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Academic and Research Positions

          

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  • PNNL: Post Doctorate RA – Data Sciences and Analytics - Aug 28, 2014.
    Do research related to social network analysis, human language technologies, machine learning, infectious disease epidemiology, and data collection and analysis.

  • Becker College: Founding Director of the Data Science Program - Aug 26, 2014.
    Responsibilities include: thought leadership, program development, network development, industry engagement, research, effective classroom teaching, student advising, college service, and professional scholarship.

  • UW: Research Scientist Positions - Aug 1, 2014.
    Do research and hone your engineering skills in an interdisciplinary environment on projects related to mining biological data, health care analytics, mobile networks, or healthcare big data.

  • PNNL: Post Doctorate RA – Data Sciences and Analytics - Jul 24, 2014.
    Perform research related to social network analysis, human language technologies, machine learning, infectious disease epidemiology, and data collection and analysis.

  • Allen Institute: Asst. Investigator – Computational Neuroscience/Machine Learning - Jul 24, 2014.
    Our mission is to accelerate the understanding of how the human brain works. Using a big science approach, we generate public resources, drive technological advances, and discover fundamental brain properties.

  • U. Antwerpen: PhD Position, Data mining for tax fraud detection - Jul 18, 2014.
    Develop new fraud detection techniques for historical data to help combat tax fraud in this PhD position at U. Antwerpen. Apply by August 10th, 2014.

  • UNIGE: PhD position on Machine Learning for representation learning - Jun 23, 2014.
    Develop new machine learning methods for representation learning. Position is funded for three years. Applications submitted by June 30 will be given priority.

  • DePaul School of Computing: Lecturer in Data Science - Jun 17, 2014.
    Ideal candidates will have expertise and teaching experience in data science with an emphasis in computational statistics, data mining, data visualization, pattern recognition or machine learning.

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