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-CCE Scaling Machine Learning. The HEP Division performs cutting-edge research facilitated through advanced detector development, high-performance supercomputing (HPC), and innovative electronic and
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such as microelectronics and self-assembly of nanocomposites. Therefore, we seek highly motivated candidates to drive the project independently while interacting closely with senior members of the research
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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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. High-resolution tomographic measurements at a synchrotron facility aim to complement electron microscopy measurements. Research will be conducted at 2-BM, a fast micro-tomography beamline. Achieving sub
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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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for this exciting opportunity. Position Requirements Recent or soon-to-be-completed PhD (typically completed within the last 0-5 years) in Economics, Regional Science, Public Policy, Engineering, or a related field
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The Nuclear Science and Engineering (NSE) Division is seeking a postdoctoral appointee to develop computational methods and computer codes to model the physics and engineering of advanced nuclear
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. Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork. Preferred Knowledge, Skills, and Experience Experience with synchrotron light source / x-ray free electron laser
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vigorous research programs. Position Requirements A PhD in physics, materials science or related field; Must have been received within the last 5 years or upcoming year Significant written and oral
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algorithm development in conjunction with extensive applications in the fields of nanoscience and energy-related materials. Position Requirements a PhD in physics, or closely related field. Degree must have