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using advanced analytical chemistry methods in the EBCL. The work will focus on targeted molecular analysis using mass spectrometry. Choose Duke. Join our award-winning team and be part of an inclusive
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, Biochemistry, Molecular Biology, or related field is desirable. • Strong analytical, communication, and teamwork skills • Ability to maintain research plans and meet deadlines Applications will be reviewed on a
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. Lead a research project on tissue morphogenesis using zebrafish as a model system. Design and conduct experiments by implementing all the necessary step for data generation. Perform data analysis and
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computational and data analytical methodology development and implementation; experience in supervised and unsupervised machine learning, low-dimensional models or deep learning models, and willingness to learn
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responsive to lab agendas/goals in a timely manner. This Postdoc appointment allows for many technical, analytical, and professional career development opportunities to collaborate. The candidate will have
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/bioinformatics, and data science. Work Performed · Work in highly collaborative inter-disciplinary environment with clinicians, econometricians, statisticians, and data scientists · Lead statistical analysis
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to define and lead specific research objectives aligned with the funded aims. Responsibilities will include project management, coordination of data collection and analysis, manuscript preparation, and
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experience in life cycle assessment (LCA) and related tools for managing large data sets to evaluate natural resources needed to advance emerging technologies. The candidate will lead their primary project and
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for a postdoctoral research position at Duke University in topic area of environmental geochemistry. The Postdoctoral Associate will lead a project on critical metals resourcing in mine wastes
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. The work is performed on-site or at a designated assignment location. Be Bold. Lead ambitious projects exploring molecular and cellular mechanisms of novel membrane lipid transporters and ion channels