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machine learning. Strong programming skills (Python, Julia, Matlab, C++, or similar). Strong scientific communication skills and the ability to work productively with experimental and computational
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data integration and systems biology. Computational biology, bioinformatics, machine learning, or artificial intelligence. Drug screening, pharmacology, or precision oncology. Advanced microscopy
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Health, TriNetX, or similar oncology datasets. Knowledge of survival analysis, longitudinal data analysis, mediation analysis, latent class analysis, predictive modeling, machine learning, and causal
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: Education: PhD in Immunology, Data Science and/or related fields. MD/PhD with molecular biology research experience. Experience/Training: Must have experience with analyzing omics data. Familiarity or
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information visit https://mgm.duke.edu/faculty-and-research/primary-faculty/nicholas-heaton-phd/ Recent Ph.D. graduates (or people about to graduate) with interest in this topic are encouraged to apply
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Stem Cell , 2026). Learn more about our interests, motivations and discoveries: https://sites.duke.edu/silverlab/ . We are especially interested in candidates excited to contribute to a new NIH program
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affiliations. Be You. The Di Talia lab at Duke University School of Medicine seeks a highly motivated postdoctoral research fellow for a fully funded position in our lab. Minimum Requirements: PhD
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anti-tumor B cell responses. The PhD postdoctoral candidate would be a highly motivated immunology trained individual, interested in B cell signaling, B cell activation and B-T cell interaction, and
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culture of innovation, collaboration, and continuous learning. Support Research Excellence Adhere to all institutional requirements related to animal care, biosafety, research integrity, and responsible
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doctorate (PhD, MD/MPH, etc.) in implementation science Demonstrated proficiency through previous research experience implementation science methods application and dissemination Demonstrated proficiency