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facilities in a collaborative, translational research environment. Our goal is to tackle today’s most urgent health challenges through cutting-edge advancements in precision medicine, novel therapeutics, next
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visibility in the field. Mentor junior researchers, research assistants, and graduate students, fostering a collaborative and supportive research environment. Support the dissemination of research insights
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information infrastructure. This environment supports both methodological research and operational implementation across state, national, and multi-institutional networks (e.g., NIH, OHDSI, PCORnet, ACT Network
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computer and proficiency in software and research statistical applications. Working Conditions Needs to be able to successfully perform all required duties. Office/research environment; some travel and
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career in another sector. The University provides a working and teaching environment that is inclusive and welcoming and where everyone is treated fairly with dignity and respect. Candidates will be
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 4 hours ago
, utilizing real or simulated data to address statistical problems in a stimulating, collaborative, and supportive environment. Past research project areas have included modeling and simulation, missing data
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interdisciplinary 3D Printing Lab represents a leading environment for digital workflows, virtual surgical planning and patient-specific solutions in oral craniomaxillofacial surgery, related disciplines and other
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Opportunity Join a world-leading immunology research environment at UQ’s Frazer Institute and play a pivotal role in advancing our understanding of how transcriptional and metabolic programs shape immune cell
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analysis of national linked health and social and surveillance datasets in collaboration with investigators and stakeholders. Join a world-leading research environment where your statistical expertise will
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of advanced AI-based, automated, and intelligent fast-control strategies for voltage control in future distribution grids with high uncertainty and dynamic environments. The project will consider various