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materials science. Ability and interest to work in a highly collaborative, interdisciplinary research environment. Preferred Qualifications Experience with graph neural networks, equivariant models
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systems, surface/material models, clinically relevant inocula, synthetic communities) and the integration of microbiome omics (16S/shotgun metagenomics and functional profiling) to mechanistically study
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. This NIH/NIAID-funded project centers on the temperate bacteriophage phiBB-1, the cp32 prophage family, and phage-mediated movement of antigen and other genetic material among B. burgdorferi strains
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the Hobbs Laboratory focuses on understanding how epithelial cells sense and respond to cellular, environmental, and inflammatory stress. Using skin keratinocytes as a primary model system, the laboratory
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—including diffusion coefficients, charge-transfer kinetics, and transport numbers—to support cell-scale models. Participate in project meetings and present the main research results. Disseminate results
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/2026 Group or Departmental Website: https://med.stanford.edu/supekar-lab.html(link is external) How to Submit Application Materials: Please email application materials as a single PDF to supekarlab
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Carilion (VTC). About the Lab: The lab integrates state-of-the-art neural recording technologies, complex cognitive tasks, and computational models to investigate the neural basis of flexible cognition. From
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transformative solutions to compelling problems in energy and security. Within ORNL, the Building Envelope Materials Research (BEMR) Group develops and deploys affordable, advanced, and resilient solutions
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for malaria and other neglected tropical diseases. This will be done by developing mathematical and statistical models, to describe the time course of drug concentrations and effect. You will work closely with
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Qualifications: Ph.D. and/or M.D. in an area relevant to cell biology and/or immunology, with a strong publication record. Experience with in vivo models of cancer and/or infectious disease strongly preferred