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backgrounds in adjacent areas and a firm commitment to learning glycobiology approaches are also encouraged to apply. Interested candidates should include a CV, brief statement of research interests, and
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with causal inference methods or machine learning approaches Demonstrated experience in scientific writing and publication Ideal for candidates who: Have recently completed (or are near completion of) a
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multidisciplinary team members and the broader scientific community. Contribute to a culture of innovation, collaboration, and continuous learning. Support Research Excellence Adhere to all institutional requirements
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. This position is designed for scientists with strong computational and quantitative training who are interested in agent-based modeling, network science, infectious disease dynamics, uncertainty quantification
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to excellence in research, education, and patient care. Learn more about Duke University's competitive benefits package. Research Areas Include Immune mechanisms of response and resistance to glioblastoma
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cell based assays. Minimum Requirements: Recent PhD in immunology or PhD in other discipline with significant immunology training. Preferred Qualifications: Strong interest in B cell biology preferred
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independent scientific reasoning and problem-solving Learn and apply new experimental technologies and methodologies Contribute to high-impact research advancing lung biology and disease understanding Choose
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chain and resource data sets. The Postdoctoral Associate will be based in Duke’s Department of Civil and Environmental Engineering and the research team led by Professor Heileen Hsu-Kim. The Postdoctoral
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and analyzing multidimensional data sets Familiarity with bioinformatic and biostatistical approaches for the analysis of sequencing and proteomic data Desire to conduct team-based science in close
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in AI for genomics (e.g., generative models, transformers, genomic language models, agentic AI) and related areas of statistics (e.g., uncertainty quantification for machine learning and AI). Apply