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will develop novel statistical and machine learning methods for any of the following: multi-omics data (such as bulk and large-scale single-cell RNA sequencing data, spatial transcriptomics, bulk and
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, including development of new computational tools for processing large-scale biospecimen data Creation of novel machine learning frameworks for automated scientific analysis and discovery Design and
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Program, the Nancy Grace Roman Space Telescope, the Rubin Observatory LSST, and the Simons Observatory. The Duke Cosmology group currently consists of about ten PhD students and seven postdocs or research
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, psychology, statistics, sociology, criminal justice, public policy, or another relevant field. At least three years of experience in research/data analysis or related position, post-graduation from a PhD
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image analyses of anatomical data in a supportive and collaborative environment. Our goal is to advance bioelectronic medicines: electrical stimulation, block, and recording of peripheral autonomic nerves
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motivated individual to pursue software engineering work in a highly supportive and collaborative environment. The HARVEY project is using large-scale supercomputers and cloud computing to enable personalized
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. OCCUPATIONAL SUMMARY Administer and coordinate the activities of a large network of specialized research units. Acts as an advisor to unit-level collaborators to meet metrics related to quality management and/or
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). The candidate will contribute to the design, development, and implementation of strategies to convert noisy tomographic data into high-resolution structures of challenging biomedical targets. Emphasis will be
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data warehouse that facilitates evaluating the cancer burden and disparities in the Duke Cancer Institute (DCI) catchment area. The RPL Snr will lead data collection and harmonization from the Duke
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joint contributions of social determinants of health (e.g. healthcare access, socio-economic status, systemic racism) and molecular mechanisms that drive cancer mortality. Leveraging robust data from