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Research Assistant – Machine learning in computational neuroscience

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We are interested in discovering biomarkers across neuro-diseases, exploring how variations in the genome change the structure and development of the brain, and establishing neuro-biolgical basis to visualize the pathophysiological mechanisms of neuro-diseases using data-driven approach. The NIRAL Lab is developing software to support AI-driven techniques to rapidly diagnose, track, and treat neuro-disorders. Responsibilities for this position include a combination of: ??? Developing deep-learning approaches for insight and analysis about mouse behavior from video ??? Machine Learning: use your expertise in statistics and machine learning to analyze high dimensional medical imaging data ??? Make it easy to get high quality, automated, results without expert intervention. Build scalable products and reusable libraries in Python, Scala, and/or C++, taking advantage of Spark, Hadoop, and other tool stacks as appropriate. ??? Developing computational and algorithmic approaches to understand the neurobiological mechanism of neurodisorders ??? Interact cross-functionally: work with people across the team to find creative solutions and deliver them ??? Skilled at data visualization and presentation The candidate will have chance to present work at national and international research conferences.

Faculty Advisor
Guorong Wu
Research Supervisor
Guorong Wu
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