184 structural-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Nature Careers in United States
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organization, and results Collaborating with Structural Biology's Protein Technology Center (PTC) Planning and presenting research with passion and clarity Contribute to the development of a working hypothesis
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advanced particle detection materials. Division of Microscopic Science and Technology in the Greater Bay Area This division aims to investigate structural and compositional information at the atomic scale
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leading therapeutic target. The project emphasizes cryo-EM structural studies to characterize LRRK2 signaling in disease states and identify novel therapeutic strategies for PD. Ideal Candidate We seek a
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efficiency, sustainability, and performance. Collaborate closely with architects, engineers, and construction teams to ensure data center designs meet operational requirements, industry standards (e.g., Uptime
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specialized departmental shared resources, including an integrated support structure for in vivo and ex vivo neuroimaging, behavioral phenotyping, computational neuroscience, genetic engineering, and single
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cancer patients. The lab employs cutting-edge technologies (immunopeptidomics, T cell engineering, single-cell transcriptomics, spatial transcriptomics, CRISPR technologies) paired with in vivo animal
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, probabilistic modeling) Natural language processing and large language models for extracting, structuring, and modeling high-dimensional, unstructured clinical notes, patient-reported narratives, and speech
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. Works with technology staff, clients, collaborators and vendors to identify and analyze needs, investigate solutions, implement and deploy required technologies. Maintains technologies and observes
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. Works with technology staff, clients, collaborators and vendors to identify and analyze needs, investigate solutions, implement and deploy required technologies. Maintains technologies and observes
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transcriptomic data. • Detect and interpret structural variation from Nanopore/PacBio sequencing. • Build scalable, reproducible pipelines for large genome collections and public databases. • Collaborate closely