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application to quantum theory and information science. Other application areas of interest include robust parameter estimation and performance bounds under model misspecification, integrated sensing and
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, Biostatistics, Public Health, Population Health Sciences, Health Services Research, Data Science, Cancer Prevention/Control, Quantitative Social Science, or a closely related field. Strong understanding
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communication, interpersonal, and problem-solving skills. Working knowledge of Unix based operating systems and git version control. Other Requirements: This position is onsite. The work is performed on-site
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, neural circuit function, and motor control. At Duke, you'll contribute to groundbreaking research that expands our understanding of how the brain learns, adapts, and stores memories while benefiting from a
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Qualifications at this Level Education/Training: PhD (theoretical nuclear/high-energy physics, quantum information science, lattice gauge theories, quantum many-body dynamics) Experience: Preferred--computational
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Command-line computing High-performance computing environments Candidates with strong computational backgrounds who are interested in developing wet-lab expertise are strongly encouraged to apply. Career
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Development of next-generation technologies for spatial epitranscriptomics Discovery of novel m6A readers, repelled proteins, and regulatory mechanisms controlling gene expression in cancer We welcome
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to understand how gene regulation and chromatin organization control cell fate, tissue regeneration, aging, and disease. About the Diao Lab The PI, Dr. Yarui Diao, is a tenured Associate Professor of Cell Biology
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interpretable patterns from large, messy, real-world datasets (e.g., panel data, clickstream data, intervention data, survey and psychometric data) • Contributing to theory development in behavioral economics and
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operates at the intersection of epidemiologic theory, quantitative methods, and translational science, with a strong emphasis on rigorous study design, reproducible analytics, and integration of biological