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We are seeking creative Postdoctoral researchers to bridge the gap between leadership-class supercomputing and cutting-edge open science in the area of AI and Machine Learning. Successful candidates will be working with ALCF’s technical teams (e.g., AI/ML, Data Science, Performance Engineering)...
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The ALCF has an opening for a postdoctoral position in AI-assisted scientific visualization and intelligent data exploration. The successful candidate will join the Visualization and Data Analytics
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of Transition Edge Sensor (TES) bolometers for studies of the Cosmic Microwave Background (CMB), while also supporting the exploration of novel applications for superconducting detectors. As a member of Argonne’s
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synchrotron and X-ray free-electron laser (XFEL) facilities for exploring transient states with high temporal and spatial resolution. Although the maximum salary for the position is $117,925, the actual range
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of this role will be exploring how intrinsically disordered proteins (IDPs) mediate signaling mechanisms, with a particular emphasis on cancer therapeutics. Supported by a multi-year ARPA-H grant, this project
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relationships in next-generation electronic materials. This role involves creating AI models for real-time data analysis, enabling autonomous experiments through active learning and "curiosity-driven" exploration
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application of ultrafast THz-pump and optical-probe techniques to detect narrow-band THz radiation and explore mode-selective dynamics in quantum and molecular systems. This work leverages state-of-the-art
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of modern AI tools to accelerate the entire research workflow—including literature exploration, experiment design, implementation, analysis, and dissemination. The researcher will work in a collaborative
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- Exploring Foundational Models and Agentic AI to address challenges in energy storage and conversion. Position Requirements Candidates must meet the following qualifications: 1. Educational Background: - A
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dynamics. This position focuses on advancing fundamental understanding of light-matter interactions with direct relevance to energy conversion. The research involves exploring the excited-state dynamics and