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research. The research team has access to more than 100 generative AI models through Cornell’s AI gateway and high-performance computing resources via Empire AI. This position provides opportunities
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DeepMD, NEXMD, i-PI, MixPI, NWChem, CP2K, or comparable packages. Experience with GPU acceleration, distributed training, high-performance computing systems, or C/C++ scientific software development
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Postdoctoral Associate | Mitochondrial Genomics | Lake Lab — Yale University, Department of Genetics
We are seeking a motivated postdoc to join our growing team in the Yale University Department of Genetics. Our lab uses experimental and computational methods to investigate cellular and health
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genetics. Our research program uses integrative genomics approaches to define the molecular mechanisms by which genetic variation shapes endothelial cell biology and confers risk for coronary artery disease
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on WSU’s high-performance computing system. The work directly supports federal, state, tribal, and local air quality managers in the Pacific Northwest and contributes to protecting public health across
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Posting Description POSTDOCTORAL ASSOCIATE, Earth, Atmospheric & Planetary Sciences, to work at the intersection of physical oceanography, numerical modeling, high-performance computing, and machine
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successful candidate will lead the design, operation, and characterization of high-enthalpy reacting-flow systems for methane pyrolysis and floating-catalyst chemical vapor deposition. Relevant reactor
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methodologies to support interdisciplinary cancer research programs, including magnetic resonance imaging (MRI), optical imaging, micro-computed tomography (micro-CT), photoacoustic imaging, and image analysis
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technologies. Authorship on high-profile publications resulting from this work is expected. The postdoc will work directly with Dr. Spencer on a day-to-day basis, allowing for close mentorship to promote career
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, validation, calibration, and inference. Working with large, longitudinal, structured and unstructured datasets in Linux and high-performance or GPU-accelerated computing environments. Applying rigorous methods