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addition to research activities, the candidate will be expected to play a pivotal role in mentoring students and fellow post-docs on various material-centric projects, fostering an environment of knowledge sharing and
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potential for technical and research leadership Research in areas that align with Argonne’s mission Qualifications We Desire: Demonstrated leadership through collaborations, service on committees, mentorship
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experimental cycle from real-time X-ray measurements to post-experiment reconstruction: Develop learning-enabled algorithms for 3D reconstruction of noisy and heterogeneous synchrotron datasets. Implement
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, such as invited presentations, widely used software, leadership in collaborative research, professional service, awards, or citations of published work. Experience developing research software using Python
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techniques and strategies for electrochemical measurements and post-mortem analysis. Write reports and high impact papers, and present research at conferences. Develop or support the development
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scientific stack (e.g., numpy, pandas, scikit-learn). Passion for front-end development and web-based applications, back-end services and API design (e.g., FastAPI, Flask), and deploying applications in local
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internal and external forums Position Requirements Ph.D. in materials science, physics, chemistry, electrical engineering, or a related field, and 10 years of relevant research experience (post-Ph.D
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services for leadership computing facilities Strengthen ALCF’s role in shaping human-centered AI systems for science, bridging visualization, AI, and HPC Contribute to DOE-wide efforts in AI-ready workflows