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for materials synthesis planning and automated solar data degradation pathway analysis based on literature data. You will support two DOE projects at 50% each. The first project is the DOE BES Data-Driven
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organic spin systems for quantum information science (QIS). The primary purpose of this project is to establish chemically tunable organic radicals as a new materials platform for quantum spin qubits
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papers and reports. We are looking for: Ph.D. in Chemistry/Physics/Materials Science, or similar fields. Density Functional Theory, Molecular Dynamics (ab-initio MD and/or nonadiabatic MD), Kinetic
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National Laboratory is hiring a Postdoctoral Scholar - High-Throughput Discovery within the Molecular Foundry division. This position will accelerate the design and discovery of biological materials
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, noise processes, and measurement error. You will work closely with mathematicians, software engineers, physicists, materials scientists, and beamline scientists to implement these new tools on HPC
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studies on quantum materials and complex oxides, with an emphasis on microelectronics applications. In addition to experimental work, the role includes applying machine-learning and AI-based approaches