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Field
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, supported by Large Language Models (LLMs). Mandatory requirements: The candidate must hold a Ph.D. in Computer Science or a closely related field. Desirable requirements: Experience in Information Retrieval
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The Materials Science Division is seeking a highly motivated Postdoctoral Research Associate to join our Quantum States and Crystalline Matter Group. This exciting research opportunity focuses
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atmospheric science or a related field. Experience with numerical modeling. Knowledge of atmospheric dynamics and precipitation process. Brief Description of Duties: The Postdoctoral Associate will conduct
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of comparison, with careful attention to relationships among the data sources and the need for independent validation. Hierarchical models that represent relevant components of the acoustic observation process
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for this position have a great interest and knowledge in data analysis, filtering and modeling based on large amounts of data. It is important that you have a solid understanding of mining and mining systems to also
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. The experimental work is supported by first-principles based transport modeling, and the broader collaborative network includes materials synthesis experts at Ohio State University, as well as collaborators
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Center (TrAC) at Iowa State University seeks a Postdoctoral Research Associate to advance uncertainty quantification for large language models and agentic AI systems. The successful candidate will develop
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or Departmental Website: https://profiles.stanford.edu/marc-lipsitch(link is external) How to Submit Application Materials: email Marc Lipsitch ([email protected](link sends e-mail) ) Does this position pay
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atmospheric science or a related field. Experience with numerical modeling. Knowledge of atmospheric dynamics and precipitation process. Brief Description of Duties: The Postdoctoral Associate will conduct
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and extreme environment structural materials. A strong background in mechanical behavior of materials is required. Demonstrated experience in the implementation of nonlinear constitutive models in