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Postdoctoral Research Opportunity: Lipid Biology, Cell Death, and Evolutionary Genomics. We are seeking a highly motivated Postdoctoral Associate to join our collaborative research program at the intersection
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The Center for Nanoscale Materials (CNM) at Argonne National Laboratory invites applications for a postdoctoral researcher position in the field of hybrid quantum computing. This exciting project
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, structural sensing and health monitoring, conducting physical experiments, and validation of computational models. Required Qualifications: A successful applicant must have a PhD in Civil Engineering
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the Laboratory's collective success. The Division of Chemical & Biological Sciences is seeking a Postdoctoral Research Associate with a strong background in quantum chemistry and molecular modeling. The selected
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substantial knowledge of state-of-the-art principles and theories. 5. Develops advanced analytical models and systems and provides solutions and analyses to support strategic and tactical decisions. 6. Adheres
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of scientific principles and theories. Maintains substantial knowledge of state-of-the-art principles and theories. Develops advanced analytical models and systems and provides solutions and analyses
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
or polar oceanography. Experience with high-performance computing, GPU-accelerated models (e.g., Oceananigans.jl), or advanced flow measurement techniques (e.g., PIV, LIF). Interest in mentoring graduate
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work will focus on the modeling and interpretation of transiting exoplanet and host star data from JWST, and the upcoming Pandora mission. The Eyes on the Stars JWST Archival program aims to study host
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The Ghezzi Lab at University of Massachusetts Lowell is looking for a full-time, fully benefitted Postdoctoral Research Associate to participate in a NIH-funded research program which aims
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, and publication of major results from the experiment. They will also lead the development of predictive distribution models that incorporate data from the experiment. The project is funded by the USGS C