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relevant field at the PhD level with zero to five years of employment experience. Experience with deep learning frameworks (PyTorch, TensorFlow, JAX). Strong background in computational image processing and
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-impact, interdisciplinary research. Position Requirements Recent or soon-to-be-completed PhD (typically completed within the last 0-5 years in chemical engineering, mechanical engineering, process systems
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behaviors of MEMS structures. Hands-on experience working with signal processing and RF testing instruments. Strong communication skills for working in a multidisciplinary team environment. Ability
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field with an emphasis on biomedical image processing at the PhD level with zero to five years of employment experience. Hands-on experience with a tomography beamline is an asset. Expertise in Python
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automation, high-throughput data acquisition, and real-time data processing, offering a unique opportunity to advance S/TEM capabilities, publish impactful research, and collaborate with a diverse group of
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-world problems. Position Requirements Recent or soon-to-be completed (typically within the last 0-5 years) PhD in Electrical Engineering, Industrial Engineering, Applied Mathematics, or a closely related
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group. The term of the positions is typically two years, with the possibility to renew for the 3rd year, contingent on the project process and availability of funds. Recent publication most related
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, signal processing, x-ray science etc. are encouraged to apply. Position Requirements Required Knowledge, Skills and Experience : PhD in a relevant field completed in the past 5 years or soon to be
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-state representations for real-time analysis; investigate aggregator-driven DER coordination strategies for day-ahead scheduling and real-time operations under various market or reliability signals
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The Chemical and Fuel Cycle Technologies division at Argonne is seeking a Postdoctoral Appointee to join a multidisciplinary team developing molten salt-based chemical and electrochemical processes