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physiological signals for health applications, with a focus on aging populations. The Post-Doctoral Researcher will take a lead role in driving research projects from early prototype to publication. This means
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understanding of placental development through the integration of computational modeling and clinical imaging data within the Biomedical Flows Simulation and Multiscale Modeling (BioSiMM) Lab. Core
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by working on research projects in AI safety and robotics, contributing across the full research lifecycle: algorithm and system design, code development, experimental validation, and scientific
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and book historians Integrate top-down LLM hypotheses with established bottom-up vision pipeline (existing: dhSegment/Eynollah line extraction, damage detection models, 280M+ character image database
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methods applied to behavioral or health data Experience with qualitative data collection (e.g., semi-structured interviews, focus groups, human-centered design workshops, coding) Experience with human