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Berkeley National Laboratory (LBNL) Scientific Networking Division has an immediate opening for a Full Stack Software Engineer to join ESnet's Measurement and Analysis team. Remote work is an option
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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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community. This includes installing, maintaining and documenting a productive and performant set of tools (e.g. Jupyter, Podman, Julia or Python), engaging with the developer and user community, helping
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for science Advancing quantum computing and networking technologies, software, algorithms and applications Evaluating or developing new and promising HPC systems and networking technologies Researching methods
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statistical methods, leading to robust and scalable UQ methods Linear algebra and tensor algorithms for quantum computing AI/ML algorithms for HPC code development Novel algorithms for advancing AI/ML
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to identify and quantify energy, environment, and mobility implications from changes to the transportation system using interdisciplinary methods that combine engineering, economics, human behavior, technology