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Job description
Flagship Pioneering is seeking a talented individual to design and implement supervised machine learning models to optimize materials synthesis. Candidates will work at the intersection of computation and experimental teams, driving discoveries in materials with a strong focus on Bayesian Optimization and uncertainty quantification.
A PhD in a quantitative field and robust experience with ML frameworks like PyTorch or TensorFlow are required. The role promises a stimulating environment to collaborate with dynamic teams.
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Worksite address
cambridge, MA, 02140, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.