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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
Postdoctoral Research Associate will conduct research within the group’s broader research program, mentor graduate students, and collaborate with researchers in related fields; perform theoretical and
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on their research background, interests, and project needs. This position will also provide opportunities to pursue complementary independent research aligned with the scientific priorities of either program in broad
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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
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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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-of-the-art behavioral, neurophysiological, circuit, and computational approaches to examine neural activity in awake-behaving rodents performing auditory and audiovisual tasks. These approaches include high
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surrogate models, physics-informed neural networks, uncertainty quantification, or digital-twin development. High-performance computing and parallel numerical workflows. Terms of Appointment This is a full
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methods Computational or process modeling using tools such as Python, MATLAB, Aspen, COMSOL, Fluent, or OpenFOAM Experience with high performance computing environments Experience working in a classified
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despite having normal or near-normal audiometric hearing thresholds. The successful candidate will contribute to all aspects of a multisite clinical research program designed to evaluate the impact of low
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that strives for a consistent level of high achievement in all of its activities. The Department offers full diagnostic services in all areas of Laboratory Medicine and Pathology, is a top ranked research
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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