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advanced synchrotron X-ray techniques. The successful candidate will be at the forefront of integrating cutting-edge AI methodologies with world-leading X-ray characterization. You will develop and apply
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components. Work closely with a beam diagnostics physicist and controls group engineer to install and optimize diagnostic systems. Develop and integrate mmWave diagnostics equipment for beam position
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management for science applications, focusing on integrating, organizing, and analyzing diverse data types to accelerate scientific discovery and innovation. Another goal is to develop and evaluate vector
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written and verbal communication skills Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork Preferred Requirements: Experience with ultrafast nonlinear optical
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skills Ability to collaborate with domain subject matter experts professionally and productively Ability to model Argonne's core values of impact, respect, safety, integrity, and teamwork. Desirable skills
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agents for X-ray spectroscopy by integrating large language models (LLMs) with physics-aware spectroscopy workflows. The researcher will work closely with a multidisciplinary team of X-ray physicists and
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Python and either PyTorch or TensorFlow is required Experience using High-Performance Computers (HPCs) is preferred Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork
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scientists, roboticists. The project will focus on developing an integrated autonomous lab system for strucutre-property characterization of novel materials heterostructures for quantum and microelectronics
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testing of electro-optic (EO) devices integrated with photonic and microwave platforms Collaborate within a multidisciplinary team across CNM, the Advanced Photon Source (APS), Materials Science Division
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, distributions, and dynamics in metallic, oxide, and semiconducting systems. This project integrates high-throughput and in situ TEM experimentation with AI/ML-driven image analysis and computational modeling