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geophysical sciences, computer science, or machine learning with 0 to 2 years of experience Knowledge of deep learning, PyTorch/JAX, and scaling deep learning models to large GPU-based machines Technical
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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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to comply with federal regulations and contract. This level of knowledge is typically achieved through a formal education in economics, operations research, public policy, environmental science, data science
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related field. Experience with finite element simulations and developing constitutive models. Knowledge of high temperature creep crack growth. Knowledge of engineering design codes such as the ASME Boiler
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, computer science, or another relevant field Independent research experience Proficiency in programming and knowledge on computing hardware Ability and willingness to work collaboratively in a team
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Postdoctoral Appointee - Investigation of Electrocatalytic Interfaces with Advanced X-ray Microscopy
both within and outside the laboratory. Preferred Knowledge, Skills, and Experience Hands-on experience with liquid transmission electron microscopy (TEM). Knowledge of electrocatalysis, especially CO₂RR
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field. Solid knowledge, and independent research capability in optimization, computing, power system engineering with track records of publications. Proficient in implementing control and optimization
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the Center for Nanoscale Materials (CNM) and Material Science Division (MSD) at Argonne. Position Requirements Required skills, knowledge and abilities: Ph.D. (completed within the last 0-5 years
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. Willingness to learn basic domain-specific X-ray science and basic materials knowledge, and a strong passion for applying agentic AI to scientific discovery. Effective written and oral communications skills
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related discipline. Expertise in Nek5000/NekRS or other comparable spectral element method codes. Experience in running high-fidelity simulations on leadership class supercomputers. Knowledge of performing