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. Knowledge, Skills and Abilities: This project is suitable for a student with a strong interest in Deep Learning (Autoencoders/Unsupervised Learning) and Data Mining. They will be working on the "Feature
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. Experience running data analytics teams using the latest data mining, machine learning and/or artificial intelligence techniques. Broad experience in multiple competency areas of data and analytics delivery
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/Unsupervised Learning) and Data Mining. They will be working on the "Feature Extraction" component of the SURGE ecosystem. Working Conditions: On-site. Princeton University is an Equal Opportunity and all
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in candidates with plans to develop a research program involving mining of large-scale data and/or cancer prevention (even if they have not explicitly worked on cancer prevention before). Candidate
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, engineering, and/or computational approaches to tackle questions at this interface. We are particularly interested in candidates with plans to develop a research program involving mining of large-scale data and
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the latest data mining, machine learning and/or artificial intelligence techniques. Broad experience in multiple competency areas of data and analytics delivery; examples are data warehousing, business
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complex, cross-department processes and information strategies. Experience running data analytics teams using the latest data mining, machine learning and/or artificial intelligence techniques. Broad