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Field
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application of advanced AI models to AV systems. Minimum Qualifications Candidates must meet the following requirements: A Ph.D. in a relevant field such as Artificial Intelligence, Automated Vehicles, Control
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within the past four years with at least one year of eligibility remaining - Experience with conducting analytical research in aeroacoustics Preferred Qualifications - Expertise with the modeling
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, modeling, and analysis for the SCHOLAR project. Develop and deploy the SCHOLAR dashboard, incorporating CHW feedback through multiple design iterations. Collaborate with CHWs and senior research personnel
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, no match or vesting required Life and Disability Insurance Paid Time Off: 20 days of vacation per calendar year, 12 days of personal/sick time Paid Holidays and Special Days Off Paid Parental Leave Household
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stocks and equipment and be responsible for coordinating repairs when needed. Maintain laboratory records for experiments for publication methods and for others to repeat experiments. Correspond with other
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a related field, and should demonstrate strong expertise in at least two of the following areas: Large-deformation numerical modeling (e.g., Coupled Eulerian-Lagrangian (CEL), Material Point Method
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of complex propulsion systems involving modeling of multi-phase flows, turbulent combustion, heat transfer, combustion, and thermo-mechanical fluid-structure interaction by further developing commercial/in
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core facilities, performs RNA seq data analysis, and studies nerve response. This role collaborates with Dr. Rutherford and Dr. Shokeen as well. The job includes taking care of the animal models, cell
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, written, and oral communication skills. Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork. Job Family Postdoctoral Job Profile Postdoctoral Appointee Worker Type Long
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The Advanced Grid Modeling group at Argonne National Laboratory's Center for Energy, Environmental, and Economic Systems Analysis (CEEESA) is seeking a highly motivated Postdoctoral Researcher