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systems at various scales, for example using ab initio electronic structure methods like density-functional theory, developing interatomic potentials with various methodologies including machine learning
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completed until an initial determination of qualification for employment has been made. Union Representation: This position is represented exclusively by Postdocs United/United Automobile, Aerospace and
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a novel multi-omics approach that integrates high-throughput imaging and machine learning methods with CRISPR/Cas9 screens and saturation mutagenesis to answer central questions about the
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the Research Triangle, an affordable, vibrant and growing community. Learn more here: https://research.duke.edu/prospective-postdocs/. Job Code: 00003820 POSTDOCTORAL ASSOCIATE Job Level: 00 Duke is an Equal
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care for patients requiring urgent or emergent intervention. The fellowship provides comprehensive training in data engineering, exploratory analysis, statistical modeling, machine learning, and artificial
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. The McTernan Group aims to apply recent breakthroughs in artificial molecular machines, high-affinity host-guest chemistry, and metal-organic capsules, in biologically relevant settings. We work with rotaxanes
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significant impact on the world around us. Carnegie Mellon University’s department of Electrical and Computer Engineering is looking for a talented postdoc/research scientist to work on an innovative project
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++, or JavaScript Experience with AI or machine learning techniques, including large language models or agentic systems Experience developing or integrating interactive visualization systems, including web-based
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noise, a prototype cryogenic interferometer, using machine learning for nonlinear feedback control, devising techniques to quell opto-mechanical instabilities that can disable the interferometers, and
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. This project provides a vibrant learning environment for all the trainees. The PI is committed to the professional development of the postdoc associate in addition to their technical excellence. Core