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federally funded studies while developing an independent program of scholarship aligned with the HEEAT Lab mission. Working closely with community partners, health systems, policymakers, and interdisciplinary
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leading experts in autism research, computer vision, machine learning, psychiatry, and developmental science to develop innovative technologies that improve how caregiver-child interactions and
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researchers, you will contribute to groundbreaking studies focused on juvenile dermatomyositis (JDM) and the role of type I interferons in disease development and progression. Your work will help bridge
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, learning, well-being, social experiences, and decision-making. HARP is developing a longitudinal multimodal research resource to study human-AI interaction and its impacts using student-informed, privacy
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development of measurement, evaluation, and analytic strategies to inform policy and systems transformation – 45% Develop conceptual frameworks, logic models, measurement plans, and analytic strategies, drawing
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on identifying and validating surrogate endpoints for overall survival using data from cancer clinical trials and patient registries, developing prognostic models of clinical outcomes in cancer, and conducting
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-initiated clinical trials for glioblastoma and other primary brain tumors while developing your own mentored research portfolio. You will work alongside leading clinicians, scientists, surgeons, pathologists
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to understanding the fundamental mechanisms that drive cancer development, treatment response, and therapeutic resistance. By combining cutting-edge molecular biology, functional genomics, and translational research
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the molecular and cellular mechanisms of vision and retinal disease. This position offers an exciting opportunity to contribute to innovative research focused on the development and maintenance of the light
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access to a rigorous, well-funded, inclusive, and highly collaborative research environment with state-of-the-art core facilities and opportunities to develop independent expertise across multiple