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Field
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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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to high-impact, interdisciplinary climate science at the intersection of modeling, attribution, and policy-relevant research. The position is available to begin as soon as possible, preferably no later than
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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
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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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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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on accelerating high-impact advances in human performance by leveraging the rapidly advancing fields of bioengineering, neuroscience, artificial intelligence, genetics, molecular biology, imaging, and regenerative
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applicants interested in developing a research program in the field of cancer biology are welcomed to apply. Expertise in the fields of molecular biology, cell biology, and genetics are expected. Experienced
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
and cosmology theory; and neutrino and nuclear astrophysics. UNC Chapel Hill has significant high-performance computing resources, including the 17,000-core Longleaf cluster optimized for I/O intensive
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. Specific duties include: Design and Performance of Research Experiments (75% of Time Spent) Mechanism based discovery of cancer therapeutics. Characterization of metabolic processes of leukemia stem cells
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on performance and available funding. The successful candidate will be highly motivated, interested in forging collaborative relationships with staff and faculty and have a strong commitment to evidence-based