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. Demonstrated programming ability and knowledge of Python and/or C++. Experience with deep learning frameworks like PyTorch and application on high-performance computing (HPC) environments using distributed data
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internal and external radiation dosimetry Good oral and written communication skills Ability to work both independently and collaboratively to accomplish multiple tasks within deadlines and adapt to ever
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Demonstrated experience with low-background detectors, cryogenic liquid scintillators, plastic scintillators, additive manufacturing, and/or Ge detector technology Advanced computer programming experience
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. Excellent written and oral communication skills. Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory. Ability to function
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) Familiarity with trait databases (e.g., TRY, LeafWeb) and trait-based scaling Excellent written and oral communication skills Motivated self-starter with the ability to work independently and to participate
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Qualifications: Extensive experience with twisted materials fabrication and characterization. Knowledge of correlated-electron physics. Experience with spin-polarized scanning tunneling microscopy and quantum
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slip, twinning, and precipitation strengthening. Excellent written and oral communication skills. Motivated self-starter with the ability to work independently and to participate creatively in
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priorities. Willingness and ability to learn new research areas and contribute effectively with initiative and enthusiasm. Excellent written and verbal communication skills, with a demonstrated record of
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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
, Northwestern University, and Lawrence Berkeley National Laboratory to address grand challenge problems in materials for next-generation microelectronics applications. The position resides in the Theory
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HPC research within past five years. Preferred Qualifications: The ability to work independently and develop and deploy methods at scale. Experience in high-performance computing and software