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acquisition, instrument control, and data analysis in Python or similar languages Knowledge of quantum optics measurements such as photon correlation functions or photon-number-resolved detection Familiarity
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of this role will be exploring how intrinsically disordered proteins (IDPs) mediate signaling mechanisms, with a particular emphasis on cancer therapeutics. Supported by a multi-year ARPA-H grant, this project
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, etc.) and quantitative data analysis. Excellent written and oral communication skills. Ability to work effectively in a collaborative, multi-institutional team environment. Ability to model Argonne’s
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materials recovery,CO2 electrolysis and fuel cells. Experimental work will involve design, characterization, and degradation studies of model interfaces that can help elucidate their degradation mechanisms
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may include work at Jefferson Lab, the Electron-Ion Collider (EIC) program, detector research and development, and applications of AI in nuclear physics. Applications received by Tuesday, November 4
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thin film deposition is preferred. Advanced image processing and analysis skills. Experience with micromagnetic simulation is preferred. Ability to work independently as well as in collaboration with a
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. The postdoctoral researcher will work closely with scientists at the Materials Science Division and the Advanced Photon Source (APS) as well as collaborate with external partners to exploit state-of-the-art