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Ohio State University Wexner Medical Center, the Sen Lab takes an interdisciplinary approach to studying basic mechanisms and biological principles of tumor pathogenesis with a focus on lung cancer. We
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-house codes and making use of high-performance computing (HPC) tools. Position Requirements Recent or soon-to-be-completed PhD (typically completed within the last 0-5 years) in mechanical, aerospace
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 6 hours ago
is reproduced in the NASA Ames Electric Arc Shock Tube (EAST) facility, and is used to test models developed to predict the heating mechanisms. The primary models employed are the DPLR computational
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the mechanism of membrane protein biogenesis and quality control at the human endoplasmic reticulum using a combination of cutting-edge functional genomics, cell biology, structural biochemistry and
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Lab (link is external) at Stanford University is recruiting a postdoctoral fellow with expertise in mass spectrometry (MS)-based proteomics to study the mechanisms of G protein-coupled receptor (GPCR
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molecular mechanisms underlying amyloid formation from the protein transthyretin. Transthyretin normally functions as a transporter protein of thyroxine and retinol-binding protein (RBP) in the serum and
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We seek a talented individual with strong drive and excellent communication skills to join our team in beautiful Philadelphia! We are looking to unravel the fundamental mechanisms of human T and B
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, architecture, urban planning, energy economics, public informatics, or a related field prior to being hired. Certifications/Licenses Required Knowledge, Skills, and Abilities Required o Professional knowledge in
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Postdoctoral Researcher position in the field of cancer biology. The Lafita-Navarro lab focuses on understanding the molecular mechanisms and metabolic adaptations underlying the biology of cancer cells. One
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and great opportunity of interdisciplinary training in machine learning and functional genomics. The project combines cutting-edge computational approaches, especially state-of-the-art machine learning