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the following. • Developing analysis tools to extract physical meaning from in-situ process data. • Developing machine learning algorithms to drive correlation between in-situ process data and end part quality
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collection, and data analysis. Work activities may include the following. • Developing analysis tools to extract physical meaning from in-situ process data. • Developing machine learning algorithms to drive
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Drosophila genetics, developmental biology, Immunohistochemistry, Microscopy, Tissue culture and / or Biochemistry. • PhD degree within the last 3 years. • Strong peer-reviewed publication(s) record, with
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qualifications, the ideal candidate will bring many of the following: 1. Bachelor's Degree (or higher) in Electrical Engineering, Computer Engineering, or Computer Science; 2. Demonstrated, successful experience