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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 labâ™s graduate students and postdocs to develop reproducible
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other lab and center researchers, postdocs, and graduate students across disciplines. The researcher will contribute to the design and implementation of an applied research project to increase the speed
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of renewal, pending satisfactory performance. QUALIFICATIONS: Postdocs are expected to have outstanding potential and be self-motivated, goal-oriented and capable of successfully communicating ideas to diverse
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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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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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interpretation of model output, the management of large datasets and the application of neural nets or other machine learning techniques to those data. The postdoc will be expected to collaborate with other
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, distribute keys to incoming faculty, research scholars, postdocs, and graduate students. Maintain an organized key system. Serve as Building Access Coordinator. Assign building access over the summer to all
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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