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skills/knowledge: Familiarity with modern machine learning methods and software, including experience applying them to scientific or experimental datasets. Experience collaborating with domain scientists
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design of experiments and data analysis software. Strong problem-solving capabilities with demonstrated ability to present novel methods and techniques to solve problems within broadly defined objectives
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transfer, non-equilibrium phenomena in realistically large solid/solid, solid/liquid, solid/gas interfacial systems. Code implementation of spectroscopic modules in electronic structure theory software
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resources, and the DOE ESnet network. Develop and apply advanced workflow capabilities to improve performance, portability, and productivity of scientific software. Collaborate with computational and domain
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scanning calorimetry (DSC), drop-solution calorimetry, acid-solution calorimetry, isothermal titration calorimetry (ITC), or related thermochemical methods. Experience with high-temperature or molten salt
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National Laboratory is hiring a Postdoctoral Scholar within the Energy Technologies & Systems division. The HackingMaterials group has confirmed funding to hire a postdoc to develop theories and software
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decision-making to improve the safety and reliability of transportation and grid simulations, with contributions to model development, software maintenance, and real-world deployment. You Will: Develop fine
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experimental data. Apply modern methods of machine learning towards predictive data analysis. Collaborate with other research teams and scientists. Publish original research in peer-reviewed journals and