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Assessment Models (IAMs) such as GCAM or PAGE. The candidate must have a PhD degree in a related field, be fluent in computer programming, preferably python, and will ideally have experience in working with
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, evolutionary biology, computer science, physics, applied mathematics, or engineering. Our research integrates mathematical modeling, machine learning, and quantitative experiments to understand and control
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are central to the lab’s focus on enabling high-throughput, programmable experimentation in synthetic and regenerative biology. The candidate brings specialized expertise in stem cell biology and bioengineering
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chemistry, geoscience, and/or green chemistry research is desired. The candidate should have the ability to and be excited to work in a diverse lab group setting, plan and conduct assessments independently