61 phd-position-in-data-modeling-"Prof"-"Prof" Postdoctoral positions at Argonne in United States
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. Candidates should have a Ph.D. in materials science, chemistry, physics, electrical engineering or a related field. Position Requirements Ph.D. in materials science, chemistry, physics, electrical engineering
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: 10.1038/s41467-023-39984-3 Position Requirements This level of knowledge is typically achieved through a formal education in Physics, or a related field at the PhD level with zero to five years
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information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position
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. Ability to be highly motivated and self-starting. Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork. This position requires an on-site presence at the Argonne campus
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transfer of the reaction process. This research is closely aligned with the corresponding experimental studies. Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in field
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candidate will work on cutting-edge research integrating genome-scale language models (GenSLMs) with deep mutational scanning data, and experimental virology to predict viral evolution and identify emerging
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-aware multi-modal deep learning (DL) methods. At Argonne, we are developing physics-aware DL models for scientific data analysis, autonomous experiments and instrument tuning. By incorporating prior
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, modeling and analysis, integrating diverse data sets to identify global risks affecting sourcing strategies. In this role you will: Conduct and contribute to research and model development to enhance
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Term) Time Type Full time The expected hiring range for this position is $70,758.00-$117,925.00. Please note that the pay range information is a general guideline only. The pay offered to a selected
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in high-voltage battery systems through a fundamental understanding of interfacial mechanisms. Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in Organic Chemistry