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physics, etc. Proficiency in Python or other scientific programming languages. Programming skills in numerical methods for image processing and AI/ML methods for quality improvement are advantageous
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Postdoctoral Appointee - Investigation of Electrocatalytic Interfaces with Advanced X-ray Microscopy
). Proficiency in scientific programming (Python, MATLAB, or equivalent). Ability to work effectively in a multidisciplinary, multi-institutional collaboration. Excellent written and oral communication skills
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instrumentation and experiments. Proficiency in scientific programming and data analysis (Python preferred; experience with NumPy/SciPy, Jupyter, version control). Experience with C/C++ or MATLAB is a plus
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programming language and contributions to open-source scientific software Good scientific productivity, as demonstrated by publications and conference presentations Effective oral and written communication
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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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areas: high-pressure science, synchrotron X-ray techniques, rheology, Raman spectroscopy, and Python programming, among others. Ability to model Argonne’s core values of impact, safety, respect, integrity
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, ptychography, Laue microdiffraction, or related coherent/imaging techniques. Proven ability to design, conduct, and analyze complex synchrotron experiments. Proficiency in scientific programming (Python, MATLAB
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The successful candidate will be highly motivated and have a strong track record in problem solving and scientific publications. The candidate will be expected to conceive of, plan, and implement scientific
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. Familiarity with total scattering/PDF techniques and related software. Hands-on experience with lasers, timing/synchronization, or detector systems. Scientific programming skills (e.g., Python) for data
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The Data Science Learning Division at Argonne National Laboratory is seeking a postdoctoral researcher to conduct cutting-edge computational and systems biology research. The primary focus