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Flexibility to engage across multiple projects, research topics, and applications Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork Ability to maintain a full-time, on
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positions. Dr. Wei Peng's group (www.weipengenergy.com) focuses on modeling institutional and human dimensions of energy transition to identify realistic and robust decarbonization strategies. The appointment
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/paleoclimate modeling and data-model intercomparison. The successful applicant will contribute to a new, NSF-funded project investigating Holocene precipitation changes in the tropical Americas, with a
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models. Analyze large proteomic datasets. Contribute to manuscript preparation and publication. Present research findings at lab meetings, departmental seminars, and conferences. Minimum Qualifications
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Requisition Id 15625 Overview: We are seeking a Postdoctoral Research Associate to advance modeling and AI-driven analysis for magnetic quantum materials, with a focus on neutron scattering and
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uses various non‑model species and a hypothesis driven, systems approach to examine how these factors impact plant defense. We explore how plants have navigated the fine line between growth and defense
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to transform the way environmental and social data are integrated into fisheries management by combining advanced ocean forecasting, species-specific modeling, and social science to develop adaptive strategies
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record of accomplishments in intense laser-plasma physics. Experience with the Scarlet Laser Facility and particle-in-cell modeling Preferred Qualifications: Experience designing and running experiments
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Type Staff Job Description Major/Essential Duties of Job: 1. Develop machine learning or physical based models for plant water stress quantification. 2. Develop machine learning models for crop mapping
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regeneration using human induced pluripotent stem cells derived cardiac cell types and engineered tissue models. As a team member, you will be responsible for conducting experiments and collecting data. You will