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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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culture and differentiation of human pluripotent stem cells (ESCs or iPSCs). · Strong experimental skills in molecular and cellular biology, including techniques such as RNA/protein expression analysis
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or iPSCs). · Strong experimental skills in molecular and cellular biology, including techniques such as RNA/protein expression analysis, CRISPR/Cas9 gene editing, immunofluorescence, flow cytometry, and
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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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analysis of quantum materials. The position offers opportunities for close collaboration with theorists and experimentalists. The position emphasizes independent experimental leadership while providing
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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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on human trafficking, including supply chain network analysis and geospatial modeling. The successful candidate will have strong data science skills, including experience working with large, complex data
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, neural differentiation, and bioinformatic analysis while addressing fundamental questions about how chromosomal imbalances cause developmental disorders. This work has direct translational potential, as
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, Outpatient, Carrier, TAF). Develop reproducible code and workflows for data cleaning, linkage, and analysis within Stanford’s secure computing environment. Collaborate with multidisciplinary teams
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the precise gene activity and cell-cell interaction between the developing embryo and maternal endometrium. This work addresses a critical factor in human reproduction, as implantation failure remains a major