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. In this role, you will collaborate with leading experts in autism research, computer vision, machine learning, psychiatry, and developmental science to develop innovative technologies that improve
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disease models. What You'll Do: Lead Digital Pathology Innovation Design, implement, and maintain advanced quantitative image analysis pipelines for whole-slide tissue imaging. Extract spatial
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imaging research initiatives, with a strong emphasis on integrating machine learning methodologies into imaging workflows. Design, develop, and optimize algorithms and software solutions that support
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methods, and translational science, with a strong emphasis on rigorous study design, reproducible analytics, and integration of biological and social data. Minimum Requirements: A PhD degree is
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development, implementation, and evaluation of machine learning, computer vision, and other algorithms, primarily in the context of health. They will be part of the thriving research community of Duke
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. Preferred Qualifications: Experience in translational or mechanistic cancer research. Experience in experimental design and interpretation informed by clinical questions. Experience in scientific
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key part in advancing discovery-driven research that integrates molecular genetics, behavioral pharmacology, and clinical epidemiology. You will design and conduct independent experiments, contribute
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outcomes in cancer, and conducting Bayesian meta-analyses. This position also provides opportunities to develop innovative statistical methods related to clinical trial design, variable selection in high
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, Quantitative Social Science, or a closely related field. Strong understanding of epidemiologic methods, observational study design, cancer outcomes research, population health, and health disparities
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related discipline. Demonstrated experience with experimental design, data analysis, and scientific communication. Ability to work effectively in a collaborative research environment. Preferred