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will include learning about community-engaged research methods, receiving guidance on grant writing and research dissemination, and comparative effectiveness research. Scholars will initiate and support
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analysis of multiple disease-specific datasets and contribute to the development of novel methodologies in this space. The ideal applicant will have a strong background in bioinformatics methods and a keen
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disease. Key responsibilities include: (1) Conduct computational methods development and analysis for systems-level understanding of host-immune responses to diseases. (2) Collaborate effectively with a
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the experiments. Required Qualifications: Candidate must have a strong quantitative background, with a PhD in computational biology, bioinformatics or related field including bioengineering, computer science
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with researchers both at Stanford and the U.S. Census Bureau. The position is open to recent graduates of PhD programs in economics, statistics, sociology or related data science fields, preferably with
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social science or related field Formal research training and experience during doctoral studies Ability to work under deadlines with guidance and feedback Excellent organizational skills and demonstrated
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an interest in applying health services research and policy methods to real-world questions in acute and population health. Key Responsibilities Conduct and manage research projects focused
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multidisciplinary team studying the genomics of neurodegenerative diseases, with a special focus on Alzheimer’s Disease (AD). Current research focuses on using novel methods to detect genetic associations with
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and qualitative research methods. Disciplinary background is open within environmental governance, including but not limited to: political science, political ecology, sustainability science, human
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assessment of lymphatic flow, 2) Advancing methods for contrast-enhanced MRL, 3) Creating ideal contrast agents for MRL, and 4) generating phantom and animal models for MRL optimization and validation