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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 3 hours ago
efforts at ARC are focused on understanding the structure-property behavior of ceramic materials in high thermal gradient environment with implications on manufacturing and system performance. Relevant
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Postdoctoral Positions for Computational Genomics, Cancer Genetics, and Translational Cancer Biology
insights through iterative, hypothesis-driven computational analysis. 2) Characterizing the landscape of structural mutations—including intragenic rearrangements (IGRs)—across cancer types and modeling
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to: i) lead the design and creation of an experimental setup to examine fluid-structure interactions between 3D-printed models of deep sea sponges and ii) lead the formulation and analysis of finite
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relative to the university’s broader compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top talent. Benefits Rutgers provides a
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statistical modeling, including latent growth curve models, multi-group structural equation modeling, latent trajectory analyses, and hierarchical linear modeling to support project research objectives
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of 3D+ structure, heterogeneity, and/or dynamics from scattering and/or microscopy data; (2) autonomous analysis and decision making for self-driving and/or human-in-the-loop experiments; (3) computer
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Term: Initially 1 year, renewable. Appointment Start Date: As early as February 2026, but flexible Group or Departmental Website: https://med.stanford.edu/bridge-lab.html (link is external) How to Submit
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are interested in candidates who have an interest in: *Advanced Manufacturing and Integration of Scalable Structures *Soft and Living Materials *Natural and Engineered Materials for Energy, Environment and
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The Ghanim lab is seeking a postdoctoral candidate or more senior researcher to study macromolecular complexes involved in LINE-1 retrotransposition using an integrated biochemical and structural
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to an interdisciplinary research program integrating: Sequence- and structure-based enzyme mining and design Homology-based discovery, SSN-guided mining, and ML-assisted sequence exploration Structure-guided active-site