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, and facilitating large-scale data fabric deployment. The successful candidate will work with faculty across diverse research domains, contributing to the development and optimization of software systems
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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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data interpretation. Help develop and implement meaningful AI applications in routine clinical practice. Draft manuscripts. Collaborate with the large number of research and clinical faculty in
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are diverse; with exciting ongoing grant-funded and pre- funded projects that include big-data, population health studies, mental health aspects of head and neck cancer outcomes, human papillomavirus (HPV), HPV
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includes leaders in denominations, seminaries, church-related colleges, large membership congregations and Christian non-profit organizations. Job Code: 00000729 NONDUKE STUDENT/INTERN Job Level: 00 Duke is
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Policy Research Assistant Hybrid (Washington, DC or Durham, NC) Margolis Institute for Health Policy
health care delivery and payment reform. This position will support Duke-Margolis projects with a variety of complex activities in research, writing, and analysis of quantitative and/or qualitative data
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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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project management knowledge, technical and interpersonal skills, and project management tools and techniques to meet the project requirements of medium to large projects that are the coordinated activities
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Policy Research Assistant Hybrid (Washington, DC or Durham, NC) Margolis Institute for Health Policy
or NC, respectively) and in-person team collaboration. Work Performed Support and perform a variety of complex activities in research, writing, and analysis of quantitative and/or qualitative data within
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portfolio of grants and contracts. Coordinate and/or perform pre-award and/or post-award activities for a unit (school, department, division, institute, or center) that has a large, complex, and/or diverse