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and social data. Minimum Requirements: A PhD degree is required. Preferred Qualifications: Experience with large-scale or high-dimensional datasets (e.g., cohort, registry, or omics data) Familiarity
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contributed to the identification of vaccine and therapeutic candidates currently being produced in Good Manufacturing Practice facilities for early phase clinical trials. Minimum Requirements: PhD in
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Bayesian inference, likelihood-free inference, uncertainty quantification, identifiability analysis, or scientific machine learning. Strong programming skills (Python, Julia, Matlab, C++, or similar). Strong
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Education/Training: Work requires a PhD degree in biochemistry, molecular biology, pharmacology or other science related scientific field. Experience: None required above education/training requirement
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Appointee holds a PhD or equivalent doctorate (e.g. ScD, MD, DVM). Candidates with non-US degrees may be required to provide proof of degree equivalency. 1. A candidate may also be appointed to a postdoctoral
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, working in a collaborative team, survival analyses, and non-invasive biomarkers is preferred. Candidates must have obtained their PhD in a related field prior to the start date. Responsibilities will
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Degree Requirements: The position requires expertise and PhD in molecular biology, cell biology, mouse models, and quantitative data analysis. Other Credential/Experiential Requirements: Experience in
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development achieved? We have discovered human-specific enhancers that control neural progenitor potency and brain size. (Eg. Nature , 2025 and Cell Stem Cell , 2026). Learn more about our interests
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brain evolution. We employ a multifaceted strategy to bridge developmental neurobiology, RNA biology, and evolution. Learn more about our interests, motivations and discoveries: https://sites.duke.edu
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developed advanced tools for identifying and characterizing rare B cells, with the broader goal of improving transplant risk assessment and graft outcomes. The position requires a PhD in immunology or a