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consequences of reliance on algorithmic approaches to public policy implementation; methodological development at the intersection of social science and AI/machine learning. It is advantageous to have expertise
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focusing on elucidating neural (e.g., EEG/ERPs, MRI), behavioral, and real-time markers (e.g., passive sensor data, EMA) of depression and suicidal behaviors in adolescents. The positions are full-time
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in the Molecular and Microscale Bioengineering Laboratory of Samuel Sia. The Samuel Sia lab develops technologies for point-of-care blood tests, wearable sensors, implantable devices, and cell-based
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in the Molecular and Microscale Bioengineering Laboratory of Samuel Sia. The Samuel Sia lab develops technologies for point-of-care blood tests, wearable sensors, implantable devices, and cell-based
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-associated systemic metabolic dysfunction. We use genetically engineered mouse models, patient-derived organoid cultures, optical redox sensors, chemical proteomics, single-cell sequencing, metabolomics, and
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published influential essays focused on emerging threats to the system of free expression. It has also hosted public events on algorithmic amplification and society, AI and public discourse, lies and the law