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remote sensing data analysis and geographic information systems. Experience in machine learning motivated algorithms and quantitative data analysis. Strong writing and communication skills. What You Need
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data science, and/or public health or related fields including health services research, health informatics, computer scienceExperience in data analysis using statistical software & machine learning (e.g
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modeling and networked biological systems. You will work at the intersection of high-performance computing (HPC), computational biophysics, and machine learning, leveraging leadership-class computing
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human health. Within this mission, the Iorio Group works at the intersection of computational biology, functional genomics, and precision oncology, integrating machine learning, large-scale CRISPR
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and machine learning. Dr. Liu's research interests lie in modeling the rapidly-accumulating big data (e.g., muti-omics) in biology and medicine for precision medicine via a variety of statistical and
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(Technische Universität Berlin) are leading experts at the interface of machine learning and imaging science; Dr Breen (SKA Observatory), Dr Elosegui (MIT Haystack Observatory), and Dr van Heeswijk (Lausanne
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to launch impactful careers. To learn more about the SCALES Postdoctoral Fellowship Program, visit our program page: https://climate.duke.edu/what-were-doing/scales-postdoctoral-fellows-program/ . Key
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, making use of intelligent AI-driven control planes. The applicants should have a solid theoretical background on machine learning, optical networks and fibre sensing and be willing to engage in testbed
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salary threshold must be met to maintain FLSA exemption. Visit The Office of Postdoctoral Affairs to learn more about our postdoctoral community. Resume/CV and cover letter should be included with
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(https://www.hsph.harvard.edu/lin-lab/ ), Professor of Biostatistics and Professor of Statistics. The postdoctoral fellow will develop and apply statistical, machine learning (ML), and AI methods