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analysis and machine learning methods applied to protein structure determination using single-particle cryo-electron tomography (ET). The candidate will contribute to the design, development, and
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decisions focusing mainly on interpretable machine learning and its applications. The candidate must be an expert in music generation and Schenkerian analysis. The candidate will be responsible for working
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genomics, metabolomics, or microbiome analysis Computer science, particularly machine learning, artificial intelligence, data science, or computational biology Mathematics or statistics, with experience in
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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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lab (Department of Pediatrics) at Duke University are seeking a Postdoctoral scientist to work in the field of computational analysis of single cell multiome and CRISPR epigenome editing screen
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will include: 1. Implementing and quality-assuring MR Fingerprinting scans on multiple clinical scanners 2. Integrating advanced imaging tools for image processing and analysis. 3. Coordinating closely
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. Engage in a spectrum of research activities including literature review, experimental design and execution, data analysis, manuscript preparation, communications with collaborators and journal editors, and
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, Pratt prepares future engineering leaders to address complex challenges with solutions that take into account the complexities and nuances of implementing them. Pratt takes a whole-student approach to
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: • Experience with geochemical speciation methods, particularly synchrotron X-ray spectroscopy • Knowledge of data management • Experience with statistical analysis of data and geospatial analysis tools (e.g
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career, with background in psychology, behavioral pharmacology, and/or neuroscience. A strong quantitative background and/or experience with fMRI data analysis is preferred. Duke offers a highly