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of scientists and engineers making significant impacts in stride in the fields of materials science and energy. Join our dynamic team at the The Materials Sciences Division , where we are pioneering the future
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Lawrence Berkeley National Lab’s (LBNL ) has an opening for a Material Sciences Postdoctoral Fellow to join the team. The Center for Non-Perturbative Studies of Functional Materials under Non
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discussions. Other duties as assigned. Basic Qualifications BS in Chemistry, Physics, or Materials Science. Experience using GROMAC for molecular dynamics (MD) and metadynamics (metaMD) computer calculations on
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Stanford University Doerr School of Sustainability | Stanford, California | United States | about 9 hours ago
Postdoctoral Position, Stanford University, Earth System Science: Tropical methane emissions and the Global Methane Budget Stanford Earth Sciences (the Jackson lab; https://jacksonlab.stanford.edu
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Center and the NERSC scientific computing center, as well as Berkeley Lab's outstanding programs in materials and chemical sciences, among others – offers a prime environment for collaborative science. The
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calculations on G-Protein Coupled Receptors, as directed by Prof. William Goddard within the Materials and Process Simulation Center in the Division of Chemistry and Chemical Engineering. Essential Job Duties
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process design, simulation, scaling science, scenario modeling, and techno economic analysis. The emphasis will be on hydrogen storage materials and hydrogen end uses, gas separation technologies such as
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engineering, mechanical engineering, materials science or related field. Demonstrated experience in structure-property characterization of solid-polymer electrolytes and interfaces, ionomer membranes and thin
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experts to develop data science methods, technologies, and infrastructures to drive scientific breakthroughs. Key focus areas include data modeling and analytics, scalable methods, data lifecycle and
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biosciences, physical sciences, and computational sciences. Your role involves contributing to ACSD’s efforts in understanding biochemical processes for carbon capture by developing AI and inverse design