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for this position. Position Requirements A Ph.D. in Materials Science, Physics, or a related discipline A strong experimental and theoretical background in conducting in-situ electrical transport measurements applied
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
The Mathematics and Computer Science (MCS) Division at Argonne National Laboratory invites outstanding candidates to apply for a postdoctoral position in the area of uncertainty quantification and
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experimental data. Experience in GPU programming. Job Family Postdoctoral Job Profile Postdoctoral Appointee Worker Type Long-Term (Fixed Term) Time Type Full time The expected hiring range for this position is
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) 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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publications and presentations, is necessary for this position given the need for the appointee to directly interface with various federal and state government sponsors and team members from other national
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) 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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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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electrochemistry. Position Requirements Skill in devising and performing experiments to acquire data; using and maintaining research equipment; compiling, evaluating, and reporting test results. Experience in
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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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. This postdoctoral position in the Coherent and Ultrafast X-ray Scattering group in MSD (led by Stephan Hruszkewycz) is supported by the QNext center, which focuses on how to reliably control, store and transmit