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The X-ray Science Division (XSD) at Argonne National Laboratory invites applications for a postdoctoral researcher position to develop novel X-ray diffraction techniques for 3-dimensional imaging
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The X-ray Science Division (XSD) at Argonne National Laboratory invites applications for a postdoctoral researcher position to develop novel X-ray diffraction techniques for 3-dimensional imaging
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The Center for Nanoscale Materials (CNM) (https://www.anl.gov/cnm ) at Argonne National Laboratory (near Chicago, USA) has an immediate postdoctoral opening on computer vision for materials imaging
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using multi-modal imaging data to conduct materials simulation. Experience programming in one or more programming languages, such as C, C++, and Python. Exceptional communication skills, ability
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economic growth. The Applied Materials Division within Argonne National Laboratory is seeking a postdoctoral researcher to conduct research on electrochemical separations and their scale up. The successful
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in coherent diffraction imaging or other coherence-based experimental techniques. Understanding fundamentals of X-ray scattering Experience in developing and applying machine learning and artificial
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, and other national laboratories. The successful candidate will lead experimental design, execution, analysis, and interpretation. The successful candidate is expected to publish in peer-reviewed
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economic and decarbonization goals. This role will build on existing work at Argonne and collaborate with a multi-disciplinary team and will involve the following: Conduct research and analysis and develop
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or emissions. The successful postdoctoral candidate will conduct economic and financial studies of hydropower projects in the context of capacity expansion, retrofitting, and market operations. The successful
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such as LC-MS, GC-MS, and ICP-MS to perform in situ measurements aimed at understanding dynamics at the interface. The work will also include complimentary imaging methods including TEM, SEM, and FIB-SEM