61 postdoc-in-nanoparticles-density-functional-theory Postdoctoral positions at Argonne
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heterointegration with other materials for developing energy efficient devices. The postdoctoral candidate will be a part of highly collaborative research team focusing on the synthesis and characterization aspect of
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The Applied Materials Division (AMD) at Argonne National Laboratory is seeking to hire a Post-doctoral Researcher. The candidate will work within a multidisciplinary team with researchers
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all areas of experimental condensed matter physics will be considered, particular emphasis will be placed on the dynamical studies of 2D materials and their functionalities. This postdoctoral position
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, primarily for recycling used nuclear fuel for use in advanced reactors. As a part of this team, you will: Apply electrochemical engineering principles to develop processes such as metal oxide reduction and
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. Although exceptional candidates in all areas of experimental condensed matter and materials physics will be considered, particular emphasis will be placed on expertise in materials and phenomena towards use
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quantum information. The scalable design, synthesis, and control of materials capable of hosting quantum states, such as silicon carbide and diamond, play an integral role in solid state platforms
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will conduct Research and Development to help develop processes for the economic production of critical and rare earth metals. Perform technical work related to the development of new processes
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The successful candidate will be part of a multi-institutional, cross-disciplinary team including researchers from multiple groups at the APS and at Northwestern University. They will have access to state
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
modeling of large-scale dynamics in networks. This role involves creating large scale models of dynamic phenomena in electrical power networks and quantifying the risk of rare events to mitigate
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or other scientific programming languages. Expertise in data processing, preferably with a focus on tomography. Excellent oral and written communication skills. Good collaboration skills and be able to work