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Engineering completed within the last 5 years. Laboratory and experimental experience Preferred Qualifications: Experience in the design, development, and operation of experimental thermal-fluid systems
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Preferred Qualifications: We are interested in candidates with general research experiences in quantum optics and quantum information science. Priority is given to candidates with experience on the design
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-changing needs Preferred Qualifications: Experience in radiological risk assessment Experience in biokinetic model development Experience with Monte Carlo radiation transport software and applications
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. Conduct in situ neutron or X-ray diffraction experiments to study micromechanical behavior under loading conditions (e.g., tension, compression, creep). Design and execute mechanical testing experiments
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Phenomenological modeling of dynamics/transport behaviors in complex systems, including strongly correlated electron systems Experience in analyzing data from scattering experiments Work with others to maintain a
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well as dynamic and transient inverter modeling and different applications of the simulation. Selection will be based on qualifications, relevant experience, skills, and education. You should be highly self
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databases to assess ecosystem response to environmental forcing. The primary research focus is AI-forward, experiment-driven. This position encourages leveraging AI/ML methods to assess plant physiological
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scalability of simulation workflows via: Parallelization and performance engineering GPU/accelerator optimization Algorithmic innovation Experience applying machine learning or AI to molecular simulation
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closely related field completed within the last 5 years Experience with computational modeling of electronic and magnetic properties Preferred Qualifications: An excellent record of productive and creative
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networks and beyond) and quantum physics Familiar with programming languages and scientific computing Preferred Qualifications: Experience working with low-rank linear algebraic approximation methods