82 phd-position-for-fully-funded-reserch-in-computer-vision Postdoctoral positions at Argonne
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and is based at Argonne National Laboratory (Lemont, Illinois). Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in high energy physics, or a related field Experience
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by January 16th, 2026, given full consideration. The position will remain open until filled. Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in Astronomy
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, computational physics, computational materials science, inverse problems, signal processing, x-ray science etc. are encouraged to apply. Position Requirements PhD completed in the past 5 years or soon to be
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opportunities to contribute to related projects, including material synthesis and separation processes. Position Requirements Recent or soon-to-be-completed PhD (typically completed within the last 0-5 years)in
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Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in theoretical physics or a related field (Completed prior to the start date of the postdoctoral position and no more than 5 years
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hardware. Extensive experimental experience is essential. The scientist will join a DOE funded project that explores the use of AI and autonomous techniques for materials discovery. The project involves
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upgraded APS. The position typically lasts two years, with the possibility of renewal for a third year, contingent upon project progress and available funding. Position Requirements This level of knowledge
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and simulation of the electronic structure of polycrystalline and defective two-dimensional materials. Interviews will begin immediately and continue until the position is filled. This position centers
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, instrumentation, modeling, and data science Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in field(s) of materials science, physics, computational science, or a related field
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. Position Requirements PhD completed in the past 5 years or soon-to-be completed in physics or related field. Strong knowledge of coherent imaging, light modulation, Fourier-domain signal processing, X-ray