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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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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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data, immunology and cancer systems biology. Experience with genomic engineering methods, stem cell culture, flow cytometry, and murine models is preferred. Ability to work independently and
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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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. Preferred Qualifications: Experience with high-throughput screening methods (e.g., cell-surface display, microfluidic techniques, and/or laboratory automation) is a significant plus. Experience with
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a love of science. Preferred Qualifications: Experience with high-throughput screening methods (e.g., FACS, microfluidic techniques, and/or laboratory automation) is a significant plus. Experience
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background in the economics of healthcare, public economics, or other fields of applied microeconomics. We are looking for strong background in data analysis, econometrics, and quasi-experimental methods
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clinical or behavioral research, particularly with children and families Motivation to learn state-of-the-art methods and approaches for clinical trials Enthusiasm to improve the health of children and
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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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immediately in the Department of Surgery at Stanford University. As part of the Asian Liver Center, our lab uses multidisciplinary approaches to identify and develop more efficacious methods for the diagnosis