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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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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
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on the laboratory’s expertise in conditionally active small molecules, we aim to develop antibacterial compounds that are selectively activated in response to infection. The interested candidate will focus on synthesis
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database to support clinical and translational epilepsy research initiatives. Design, develop, and execute an independent research project exploring the relationship between sleep and epilepsy. Plan and
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. Provide scientific input into study design, analytic planning, project management, manuscript development, and collaborative research efforts. Conduct epidemiologic and biostatistical analyses using cancer