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, and remote-sensing data) to support model benchmarking, parameterization, and uncertainty quantification. Explore and apply AI/ML approaches (e.g., machine-learning emulators, surrogate modeling, AI
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 3 months ago
, machine learning, or a closely related area; demonstrated ability to design, execute, analyze, and interpret independent research studies; excellent written and oral communication skills; and ability
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seeking applicants for a full-time postdoctoral scholar position in Computational Immunology and Genomics. The successful candidate will develop and apply computational, statistical, and machine-learning
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, perform genotyping, and record keeping and assist with research design and implementation by performing molecular/cellular studies for axonal RNA transport and translation, and cell signaling. The Post
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
, computational biology, machine learning, or a closely related area; demonstrated ability to design, execute, analyze, and interpret independent research studies; excellent written and oral communication skills
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, and remote-sensing data) to support model benchmarking, parameterization, and uncertainty quantification. Explore and apply AI/ML approaches (e.g., machine-learning emulators, surrogate modeling, AI
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complex real-world data, and translate analytical outcomes into high-impact methodological and applied manuscripts for tier-1 peer-reviewed journals. Furthermore, the scholar will contribute to the broader
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world and a suite of associated machine learning tools. The incumbent will be advised by Dr. Laurel Symes (CAPS, [email protected]). Depending on the research direction, collaboration and additional
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through data-driven modeling and optimization. The successful candidate will work at the intersection of thermal-fluid sciences, control theory, and artificial intelligence/machine learning to advance
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data to learn contextual representations of microbes and communities and translate them into predictive models for successful crop microbiome engineering. Your job Plant-associated microbiomes can