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. Basic Qualifications: A PhD in Materials Science & Engineering, Physics, Chemistry, or a related field completed within the last 5 years A minimum of 2 years of post-Ph.D. experience utilizing
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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: Ph.D. in electrical, electronics, or VLSI engineering; computer engineering; computer science; computational science; or a closely related field completed within five years of application Strong
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Condensed Matter Physics, Materials Science, Chemistry, Physics, or a closely related science discipline completed within the last five years Preferred Qualifications: A demonstrated record of developing
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a closely related field completed within the last 5 years A track record in the physics of correlated oxides or 2D materials Experience in thin film deposition or 2D materials synthesis Preferred
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Qualifications: Ph.D. (within 0–5 years) in computational bioscience, computational biophysics, computer science, or a related field Strong programming skills in C++, Python, or similar scientific computing
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. in Hydrology, Earth system science, Water resources engineering, Computational sciences, Computer sciences or a related field completed within the last 5 years (or expected soon). Demonstrated
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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
another, work together, and measure success. Basic Qualifications: A PhD in Physics, Materials Science, Chemistry, or closely related field completed within the last 5 years. Sound understanding of advanced