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many opportunities to learn new and advanced state of the art techniques and strengthen their grant and fellowship application skills. In addition, the candidate will have a broad range of local and
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seek a full-time postdoctoral researcher to work at Duke University on a project at the interface of neuroscience and machine learning. We seek to advance our understanding of neural systems and
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developing and applying advanced statistical models, machine learning, and deep learning approaches. As such, we seek applicants with strong quantitative backgrounds in remote sensing and time series analysis
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theory, multi-objective optimization and machine learning. The specific project aims to understand the multiscale interactions shaping human gut bacteria and human gut pathogens. The project will combine
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recent Ph.D. in microbiology, evolutionary biology, computer science, physics, applied mathematics, or engineering. Our research integrates mathematical modeling, machine learning, and quantitative
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behavioral assays related to reinforcement learning and neuropsychiatric disease models. • Combine DART with modern imaging and behavioral tools to examine neurobiological mechanisms. • Analyze data, document
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. Ability to execute appropriate computational and statistical analyses and present data in 5. Abililty to learn from existing literature to develop new methods and strategies to analyze complex datesets. 6
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competitive medical and dental care programs, generous retirement benefits, and a wide array of family-friendly and cultural programs to eligible team members. Learn more at https://hr.duke.edu/benefits
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learning workflows and apply formulations in vitro and in vivo. This position is available for immediate hire with a 1-year term and an opportunity for additional annual renewal contingent on performance and
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environment at Duke is ideal for our translational research efforts. Applicants must : 1. Hold a PhD with relevant skillsets in programming (including Python) and machine learning methods for image