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ideal for someone who enjoys working at the intersection of data science, machine learning, materials research, and experiment, and who is motivated to translate computational advances into real
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field Strong background in materials research for quantum information or sensing, preferably with practical experience. Proficiency in materials synthesis and fabrication, particularly with a focus on
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. This position will contribute to the Forge project, which is focused on developing advanced multimodal AI capabilities that can learn across distributed data environments without requiring sensitive data to be
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The researcher will work at the intersection of materials science, chemistry, data science, and laboratory automation to identify promising materials, guide experiments, and establish relationships
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the names and contact information of three professional references. 7. Ability to model Argonne’s core values: Impact, Safety, Respect, Integrity, and Teamwork. 8. Ability to work onsite at Argonne
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and modeling teams using data from the Atmospheric Radiation Measurement (ARM) User Facility including the Bankhead National Forest (BNF) and Desert-Urban System Integrated Atmospheric Monsoon
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Type Long-Term (Fixed Term) Time Type Full time The expected hiring range for this position is $72,879.00-$121,465.00. Please note that the pay range information is a general guideline only. The pay
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Full time The expected hiring range for this position is $72,879.00-$121,465.00. Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be
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SEM. Skill in devising and performing experiments to acquire data, using and maintaining research equipment, compiling, evaluating, and reporting test results. Problem-solving skills, including
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technology research and development by fabricating prototype electrodes and pouch cells in a dry-room environment and by contributing to experimental design, data interpretation, and technical reporting