50 parallel-computing-numerical-methods Postdoctoral research jobs at Duke University in postdoctoral
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awarded a NIH U01 grant to develop new vaccine strategies that can induce antibodies in early-life capable of preventingHIV-1infection in pediatric populations. This computational immunobiology postdoctoral
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, python and/or MATLAB, scientific computing and numerical methods. Experience with computing, PyTorch, spectral CT, photon-counting detectors, or preclinical imaging would be helpful but is not required
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Advance Computational Behavioral Analysis Develop and validate automated methods for analyzing caregiver-child interactions using computer vision, multimodal machine learning, and artificial intelligence
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project on critical metals from unconventional resources. The project goals are to evaluate the geochemical characteristics of potential feedstocks and develop extraction methods for resources such as rare
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conducting independent or collaborative research. ● Experience conducting experimental, quantitative, computational, or mixed-methods human-subjects research. ● Experience collecting and analyzing EEG
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. Advanced Models and Modeling Methods. While progressing on core modeling projects such as those above, the new researcher may also participate in ongoing and upcoming projects that involve less developed
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optimization, and development of tools suitable for high-performance computing environments. Experience with parallel computing and workload management systems such as SLURM is highly desirable. Model
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, evidence-based practice, and interdisciplinary collaboration to lead the future of nursing. Our nursing program stands as a leader in healthcare education, earning #1 in the nation for Best Bachelor
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evaluation. Automate routine data management and quality assurance processes. Utilize version control and best practices for code management and documentation. Optimize computational efficiency across research
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join a highly collaborative, interdisciplinary research environment focused on developing and applying cutting-edge machine learning and deep learning methods to abdominal imaging. Working alongside