99 structural-engineering-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dip" research jobs at Nature Careers in United States
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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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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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Research Associate to investigate how biomolecular phase transitions guide higher-order genome structure and influence disease. We combine biochemistry, genomics, cellular engineering, and advanced
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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
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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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of Developmental Neurobiology, which houses specialized departmental shared resources, including an integrated support structure for rodent behavior testing, brain organoids, in vivo and ex vivo cellular imaging
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that currently lack effective treatments, such as Parkinsons Disease. By combining machine learning with quantum chemistry and structure based approaches, the project will accelerate the translation
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The Photonics and Optomechanics Group at the National Institute of Standards and Technology (NIST) in Gaithersburg, MD is looking for postdoctoral scholars to develop nonlinear photonic integrated
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epigenetic processes in human cancers. We develop novel chemical probes, engineered enzymes, and synthetic chromatin platforms to dissect and manipulate chromatin-templated processes. This position aims
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states than any other established model. This platform serves as the foundation for a purpose-built discovery engine where we conduct high-throughput screens and perform deep mechanistic deconstruction