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computational software tools for the lab, support efforts of the research team, train students and postdocs, contribute to data management and analysis, and innovate computational methods for metabolomics
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the lab’s graduate students and postdocs to develop reproducible bioinformatics workflows for addressing fundamental questions about the ecology and evolution of microbial species within the gut microbiomes
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; Processing raw CT-scan data (e.g., production of 3D volume meshes and segmentation); Training of students and postdocs on the utilization of lab equipment (e.g., stereomicroscopes with Z-stacking, CT-scanner
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computational software tools for the lab, support efforts of the research team, train students and postdocs, contribute to data management and analysis, and innovate computational methods for metabolomics
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coupling, using machine learning. The postdoc will be expected to collaborate with other postdocs at Princeton and with other members of the M2LInES project across multiple institutions. In addition to a
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Specialist, to develop computational software tools for the lab, support efforts of the research team, train students and postdocs, contribute to data management and analysis, and innovate computational
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at Princeton University to study the social determinants of young adult cardiovascular health as well as genetic, epigenetic and environmental interactions. The postdoc will collaborate with researchers
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application of neural nets or other machine learning techniques to those data. The postdoc will be expected to collaborate with other postdocs at Princeton and with other members of the M2LInES project across
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, using machine learning. The postdoc will be expected to collaborate with other postdocs at Princeton and with other members of the M2LInES project across multiple institutions. In addition to a
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to attract self-motivated and talented researchers who work well in a team environment. The successful candidate will work closely with the lab's graduate students and postdocs to develop reproducible