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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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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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have the opportunity to expand these areas of research and work on new proposals. Position Requirements PhD in chemistry, chemical engineering or materials science (those with other degrees but have
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to state-of-the-art research facilities and gain in-depth knowledge of the research frontiers of in situ characterization of deposition science and electrochemical interfaces. Position Requirements: A PhD in
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. Successful candidates will work closely with other team members to gather requirements, design and implement software for complex modeling, simulation, and data analysis, and deliver detailed documentation
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The Argonne Leadership Computing Facility’s (ALCF) mission is to accelerate major scientific discoveries and engineering breakthroughs for humanity by designing and providing world-leading computing
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well as external collaborators. The candidate should have a strong background in experimental physics and/or relevant engineering field. The postdocs will carry out optical characterization of oxide film with
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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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in GPU programming one or more parallel computing models, including SYCL, CUDA, HIP, or OpenMP Experience with scientific computing and software development on HPC systems Ability to conduct
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of chemistry and/or chemical engineering is required. Demonstrated skill in devising and performing experiments to acquire data, using and maintaining research equipment, compiling, evaluating, and reporting