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of impact, safety, respect, integrity, and teamwork. This level of knowledge is typically achieved through a formal education in materials science, physics or related discipline at the PhD level or
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
Requirements Required skills, abilities, and knowledge: Recent or soon-to-be completed PhD (within the last 0-5 years) by the start of the appointment in computer science, electrical engineering, applied
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ensembles of models. Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in field of experimental particle physics Programming expertise in C/C++, Python, Fortran, or another
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publications Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in field(s) of chemistry, material science, or chemical engineering Knowledge of and experimental expertise in
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policy, environmental science, or a related field at the PhD level with zero to five years of employment experience. Technical background in economics with a focus on the mineral and energy sectors. Proven
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Requirements PhD in theoretical physics or a closely related field; received within the last 5 years or upcoming year Strong research record in the study of quantum condensed matter systems, broadly defined
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PhD (typically completed within the last 0-5 years) in pyrometallurgy, chemistry, materials science, chemical engineering, or related scientific background with 0-3 years’ experience. Experience in
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Recent or soon-to-be-completed PhD (typically completed within the last 0-5 years) in mechanical/aerospace engineering, chemical engineering, or a related discipline. Onsite presence is required
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relevant field at the PhD level with zero to five years of employment experience. Experience with deep learning frameworks (PyTorch, TensorFlow, JAX). Strong background in computational image processing and
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(predoctoral) or PhD (postdoctoral) in Materials Science, Chemistry, Physics, or related area is required. Coursework in computer science or data science is desirable. Familiarity with research data management