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Field
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. Knowledge of high-performance computing and its applications across the computing continuum. An excellent record of productive and creative research as demonstrated by publications in top peer-reviewed
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Sciences at Texas A&M University Texas A&M Forest Service Texas A&M Veterinary Medical Diagnostic Laboratory As the nation’s largest most comprehensive agriculture program, Texas A&M AgriLife brings together
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cellular tools (e.g., gene knockdown, qPCR) to dissect cell death sensing pathways • Perform retinal functional assessments (e.g., ERG) and gene expression analysis in RPE and photoreceptors • Perform high
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Position Summary Functional Genomics of circular RNAs in Alzheimer's Disease. The Cruchaga Lab, member of the NeuroGenomics and Informatics Center, is recruiting a motivated, creative, self-driven
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 18 days ago
engineers who leverage NASA’s high-performance computing capabilities to develop new Earth science remote sensing and modeling products, generate long-term downscaled environmental projections, push
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independently associated with different projects related to non-destructive testing and evaluation of civil infrastructure. The candidate is expected to perform both fundamental and applied researches and need
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The Rosen Research Group at Princeton University (https://rosen.cbe.princeton.edu) is searching for a postdoctoral or more senior researcher interested in computational materials design and
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testing of high-fidelity models of endocrine-responsive breast cancer and analyses of multi-omic datasets spanning both models and clinical samples ● The successful candidate will be required to work in
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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. This position offers a unique opportunity to contribute to high-impact, interdisciplinary research at the intersection of network science, global research competitiveness, and generative AI capabilities