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. 2-3 years of work or research experience in energy supply chain analysis, global trade modeling, or a closely related field. Analytical skills and the ability to apply economic principles to supply
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for holotomography and to perform dynamic experiments using the Projection X-ray Microscope (PXM) instrument for studying microelectronics. As part of a collaborative team, the successful candidate will participate in
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detector projects at Jefferson Lab and towards the Electron-Ion Collider, with some flexibility to pursue your own research interests. We seek candidates with a background in experimental nuclear or high
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completed. Knowledge of x-ray/optical/electron physics, including diffraction, optics, detectors, scattering etc. Experience with deep learning (DL) libraries such as Tensorflow, PyTorch, JAX etc. Experience
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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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the Argonne site, but occasional travel and some overtime/nighttime may be required. Ability to work independently with minimal direction in day-to-day research tasks Ability to model Argonne's core values of
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computer vision. Experience with multi-modal data fusion and alignment techniques. Experience with spatial transcriptomics or other -omics data analysis. Proficiency in Python programming and scientific
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in GPU programming one or more parallel computing models, including SYCL, CUDA, HIP, or OpenMP Experience with scientific computing and software development on HPC systems Ability to conduct
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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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communication skills are needed, as well as the ability to work in teams. Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork. Considerable: Semiconductor chemical vapor deposition