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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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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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, 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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groups that are historically underrepresented in physics departments. These researchers will work with Prof. Michael Troxel to lead large-scale structure (weak lensing and galaxy clustering) projects
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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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). 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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. The Schumacher laboratory in the Department of Biochemistry at the Duke University School of Medicine seeks a Cryo-EM Computational Specialist with expertise and experience in cryo-EM data collection, data