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, transfer learning, federated learning, data integration, algorithmic fairness, survival analysis, and methods for heterogeneous and multi-source data. Training Environment and Career Development
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momentary assessment, and wearable technology in combination with predictive algorithms. This research study is being conducted in collaboration with the RI Resilience Lab at Brown University, led by Dr
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the intensive sampling period, ecological momentary assessment, and wearable technology in combination with predictive algorithms. This research study is being conducted in collaboration with the RI Resilience
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bioengineering and chemical approaches to develop molecular tools to visualize and study the brain. Research in the lab combines electrophysiology, fluorescence imaging, protein engineering, and advanced genetic
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sample-keeping practice. Education and Experience (Grade 8) Required: Bachelor degree in biology, biochemistry, genetics or related field and 1-2 years’ experience Or, equivalent combination of education