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psychology or pediatric anesthesiology. In addition to core research activities, the fellowship emphasizes capacity-building in grant writing, manuscript preparation, advanced data analysis techniques, and the
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complex endometrial models and optimizing in vitro implantation assays. Culturing human embryos and generating stem cell-based embryo models. Tissue sectioning for advanced spatial transcriptomic analysis
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transmission modeling, statistical modeling, spatial data analysis, and cost-effectiveness analysis. In parallel, we conduct research on vaccine-preventable infections, developing and evaluating predictive
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environment provides many professional growth opportunities in academia, entrepreneurship, and public service. Responsibilities include: Investigate cutting-edge techniques in system modeling, analysis, and
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statistical methods and data analysis. Possibility to participate in other SCEC research projects and contribute to the preparation of future grant proposals. Required Qualifications: Ph.D. (or expected
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, robust, and reproducible data analysis. Conventional statistical approaches will be combined with innovations in interpretable machine learning to address each aim from multiple angles. Analysis code will
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tumor spatial biology via single cell spatial analysis of the tumor microenvironment. Projects aim to reveal molecular mechanisms of drug resistance based on intercellular and intracellular regulation
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. Applicants should be independent thinkers and willing learners, ambitious and team players, with a strong research publication record and a high-level understanding of programming and biostatistical analysis
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protocols. Provide hands-on technical/operational support for preclinical FLASH irradiation experiments of multiple users in collaborating laboratories Contribute to data analysis, manuscript preparation, and
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investigators and trainees in experimental techniques and data analysis. Present research findings at national and international conferences and contribute to the preparation of manuscripts for publication in