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and scalability Collaborate with interdisciplinary teams to design future data-management solutions This position will play a crucial role in enhancing ALCF's capabilities in supporting AI-driven
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advanced spectroscopic techniques. Design, synthesize, and characterize metal-ligand complexes supported on metal oxide and/or non-traditional support materials. Evaluate the catalytic activity
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We invite you to apply for a Postdoctoral Appointee position within Argonne’s Chemical Sciences and Engineering Division (CSE). In this role you will: Design, synthesize, and evaluate next
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well as pilot plant design, installation, and operation. Experience in battery direct recycling and hydro/pyro-based recycling processes a plus. Additionally, some work may include cathode synthesis. Due
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, XRF, SEM, TEM, etc. Design, synthesize, and evaluate next-generation electrocatalysts using chemical and physical synthesis techniques combined with electrochemical testing using tools and devices
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quantum information. The scalable design, synthesis, and control of materials capable of hosting quantum states, such as silicon carbide and diamond, play an integral role in solid state platforms
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
vulnerabilities. The Postdoctoral Appointee will be responsible for the conceptual framework, design, and implementation of these models, ensuring scalability on the DOE’s leadership computing facilities. Position
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for the conceptual framework, design, and implementation of these machine learning models, ensuring trustworthy computations and scalability on the DOE’s leadership computing facilities. The focus will be
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for deployment on large-scale computing resources, such as high-performance computers (e.g., Perlmutter, Aurora, etc.). This includes tasks such as automating model design, optimizing hyperparameters, and training
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integrating scientific data from diverse sources, including numerical tables, text, and images. Design and implement LLM guardrails to enhance the reliability and accuracy of model outputs in scientific